Gustavo Carneiro

ORCID

Publication Activity (10 Years)

Years Active: 2002-2024
Publications (10 Years): 199

Top Venues

Publications

Zhi Qin Tan, Olga Isupova, Gustavo Carneiro, Xiatian Zhu, Yunpeng Li
Bayesian Detector Combination for Object Detection with Crowdsourced Annotations. CoRR (2024)
Cuong Nguyen, Thanh-Toan Do, Gustavo Carneiro
Task Weighting in Meta-learning with Trajectory Optimisation. CoRR (2023)
Filipe R. Cordeiro, Ragav Sachdeva, Vasileios Belagiannis, Ian D. Reid, Gustavo Carneiro
LongReMix: Robust learning with high confidence samples in a noisy label environment. Pattern Recognit. 133 (2023)
Cuong Nguyen, Thanh-Toan Do, Gustavo Carneiro
PAC-Bayes Meta-Learning With Implicit Task-Specific Posteriors. IEEE Trans. Pattern Anal. Mach. Intell. 45 (1) (2023)
Chong Wang, Yuyuan Liu, Yuanhong Chen, Fengbei Liu, Yu Tian, Davis J. McCarthy, Helen Frazer, Gustavo Carneiro
Learning Support and Trivial Prototypes for Interpretable Image Classification. CoRR (2023)
Arpit Garg, Cuong Nguyen, Rafael Felix, Thanh-Toan Do, Gustavo Carneiro
Instance-Dependent Noisy Label Learning via Graphical Modelling. WACV (2023)
Brandon Smart, Gustavo Carneiro
Bootstrapping the Relationship Between Images and Their Clean and Noisy Labels. WACV (2023)
Arpit Garg, Cuong Nguyen, Rafael Felix, Thanh-Toan Do, Gustavo Carneiro
PASS: Peer-Agreement based Sample Selection for training with Noisy Labels. CoRR (2023)
Youssef Dawoud, Arij Bouazizi, Katharina Ernst, Gustavo Carneiro, Vasileios Belagiannis
Knowing What to Label for Few Shot Microscopy Image Cell Segmentation. WACV (2023)
Yuanhong Chen, Yuyuan Liu, Hu Wang, Fengbei Liu, Chong Wang, Gustavo Carneiro
A Closer Look at Audio-Visual Semantic Segmentation. CoRR (2023)
Adrian Galdran, Johan Verjans, Gustavo Carneiro, Miguel Ángel González Ballester
Multi-Head Multi-Loss Model Calibration. CoRR (2023)
Cuong Nguyen, Thanh-Toan Do, Gustavo Carneiro
Towards the Identifiability in Noisy Label Learning: A Multinomial Mixture Approach. CoRR (2023)
Coen de Vente, Koenraad A. Vermeer, Nicolas Jaccard, He Wang, Hongyi Sun, Firas Khader, Daniel Truhn, Temirgali Aimyshev, Yerkebulan Zhanibekuly, Tien-Dung Le, Adrian Galdran, Miguel Ángel González Ballester, Gustavo Carneiro, Devika R. G, Hrishikesh P. S, Densen Puthussery, Hong Liu, Zekang Yang, Satoshi Kondo, Satoshi Kasai, Edward Wang, Ashritha Durvasula, Jónathan Heras, Miguel Ángel Zapata, Teresa Araújo, Guilherme Aresta, Hrvoje Bogunovic, Mustafa Arikan, Yeong Chan Lee, Hyun Bin Cho, Yoon Ho Choi, Abdul Qayyum, Imran Razzak, Bram van Ginneken, Hans G. Lemij, Clara I. Sánchez
AIROGS: Artificial Intelligence for RObust Glaucoma Screening Challenge. CoRR (2023)
Fengbei Liu, Yuanhong Chen, Chong Wang, Yu Tian, Gustavo Carneiro
Asymmetric Co-teaching with Multi-view Consensus for Noisy Label Learning. CoRR (2023)
Ragav Sachdeva, Filipe Rolim Cordeiro, Vasileios Belagiannis, Ian Reid, Gustavo Carneiro
ScanMix: Learning from Severe Label Noise via Semantic Clustering and Semi-Supervised Learning. Pattern Recognit. 134 (2023)
Yuanhong Chen, Yuyuan Liu, Chong Wang, Michael Elliott, Chun Fung Kwok, Carlos Pe na-Solorzano, Yu Tian, Fengbei Liu, Helen Frazer, Davis J. McCarthy, Gustavo Carneiro
BRAIxDet: Learning to Detect Malignant Breast Lesion with Incomplete Annotations. CoRR (2023)
Yu Tian, Yuyuan Liu, Guansong Pang, Fengbei Liu, Yuanhong Chen, Gustavo Carneiro
Pixel-Wise Energy-Biased Abstention Learning for Anomaly Segmentation on Complex Urban Driving Scenes. ECCV (39) (2022)
Yuyuan Liu, Yu Tian, Yuanhong Chen, Fengbei Liu, Vasileios Belagiannis, Gustavo Carneiro
Perturbed and Strict Mean Teachers for Semi-supervised Semantic Segmentation. CVPR (2022)
Hsiang-Ting Chen, Yuan Zhang, Gustavo Carneiro, Seon-Ho Shin, Rajvinder Singh
Toward a Human-Centered AI-assisted Colonoscopy System. CoRR (2022)
Yu Tian, Guansong Pang, Fengbei Liu, Yuyuan Liu, Chong Wang, Yuanhong Chen, Johan W. Verjans, Gustavo Carneiro
Contrastive Transformer-based Multiple Instance Learning for Weakly Supervised Polyp Frame Detection. CoRR (2022)
Hu Wang, Jianpeng Zhang, Yuanhong Chen, Congbo Ma, Jodie Avery, Louise Hull, Gustavo Carneiro
Uncertainty-Aware Multi-modal Learning via Cross-Modal Random Network Prediction. ECCV (37) (2022)
Dung Anh Hoang, Cuong Nguyen, Vasileios Belagiannis, Gustavo Carneiro
Maximising the Utility of Validation Sets for Imbalanced Noisy-label Meta-learning. CoRR (2022)
Yuanhong Chen, Hu Wang, Chong Wang, Yu Tian, Fengbei Liu, Michael Elliott, Davis J. McCarthy, Helen Frazer, Gustavo Carneiro
Multi-view Local Co-occurrence and Global Consistency Learning Improve Mammogram Classification Generalisation. CoRR (2022)
Gerard Snaauw, Michele Sasdelli, Gabriel Maicas, Stephan Lau, Johan Verjans, Mark Jenkinson, Gustavo Carneiro
Mutual Information Neural Estimation for Unsupervised Multi-Modal Registration of Brain Images. EMBC (2022)
David Butler, Yuan Zhang, Tim Chen, Seon-Ho Shin, Rajvinder Singh, Gustavo Carneiro
In Defense of Kalman Filtering for Polyp Tracking from Colonoscopy Videos. CoRR (2022)
Fengbei Liu, Yu Tian, Yuanhong Chen, Yuyuan Liu, Vasileios Belagiannis, Gustavo Carneiro
ACPL: Anti-curriculum Pseudo-labelling for Semi-supervised Medical Image Classification. CVPR (2022)
Adrian Galdran, Katherine Jane Hewitt, Narmin L. Ghaffari, Jakob Nikolas Kather, Gustavo Carneiro, Miguel Ángel González Ballester
Test Time Transform Prediction for Open Set Histopathological Image Recognition. CoRR (2022)
Chong Wang, Yuanhong Chen, Yuyuan Liu, Yu Tian, Fengbei Liu, Davis J. McCarthy, Michael Elliott, Helen Frazer, Gustavo Carneiro
Knowledge Distillation to Ensemble Global and Interpretable Prototype-Based Mammogram Classification Models. CoRR (2022)
Youssef Dawoud, Katharina Ernst, Gustavo Carneiro, Vasileios Belagiannis
Edge-Based Self-Supervision for Semi-Supervised Few-Shot Microscopy Image Cell Segmentation. CoRR (2022)
Renato Hermoza, Gabriel Maicas, Jacinto C. Nascimento, Gustavo Carneiro
Censor-Aware Semi-supervised Learning for Survival Time Prediction from Medical Images. MICCAI (8) (2022)
Youssef Dawoud, Arij Bouazizi, Katharina Ernst, Gustavo Carneiro, Vasileios Belagiannis
Knowing What to Label for Few Shot Microscopy Image Cell Segmentation. CoRR (2022)
Yu Tian, Guansong Pang, Yuyuan Liu, Chong Wang, Yuanhong Chen, Fengbei Liu, Rajvinder Singh, Johan W. Verjans, Gustavo Carneiro
Unsupervised Anomaly Detection in Medical Images with a Memory-augmented Multi-level Cross-attentional Masked Autoencoder. CoRR (2022)
Luiz H. Buris, Daniel C. G. Pedronette, João P. Papa, Jurandy Almeida, Gustavo Carneiro, Fábio Augusto Faria
Mixup-based Deep Metric Learning Approaches for Incomplete Supervision. CoRR (2022)
Yuanhong Chen, Hu Wang, Chong Wang, Yu Tian, Fengbei Liu, Yuyuan Liu, Michael Elliott, Davis J. McCarthy, Helen Frazer, Gustavo Carneiro
Multi-view Local Co-occurrence and Global Consistency Learning Improve Mammogram Classification Generalisation. MICCAI (3) (2022)
David Butler, Yuan Zhang, Tim Chen, Seon-Ho Shin, Rajvinder Singh, Gustavo Carneiro
In Defense of Kalman Filtering for Polyp Tracking from Colonoscopy Videos. ISBI (2022)
Yuyuan Liu, Yu Tian, Chong Wang, Yuanhong Chen, Fengbei Liu, Vasileios Belagiannis, Gustavo Carneiro
Translation Consistent Semi-supervised Segmentation for 3D Medical Images. CoRR (2022)
Yuanhong Chen, Yu Tian, Guansong Pang, Gustavo Carneiro
Deep One-Class Classification via Interpolated Gaussian Descriptor. AAAI (2022)
Brandon Smart, Gustavo Carneiro
Bootstrapping the Relationship Between Images and Their Clean and Noisy Labels. CoRR (2022)
Yu Tian, Guansong Pang, Fengbei Liu, Yuyuan Liu, Chong Wang, Yuanhong Chen, Johan Verjans, Gustavo Carneiro
Contrastive Transformer-Based Multiple Instance Learning for Weakly Supervised Polyp Frame Detection. MICCAI (3) (2022)
Adrian Galdran, Gustavo Carneiro, Miguel Ángel González Ballester
On the Optimal Combination of Cross-Entropy and Soft Dice Losses for Lesion Segmentation with Out-of-Distribution Robustness. DFUC@MICCAI (2022)
Yuyuan Liu, Choubo Ding, Yu Tian, Guansong Pang, Vasileios Belagiannis, Ian D. Reid, Gustavo Carneiro
Residual Pattern Learning for Pixel-wise Out-of-Distribution Detection in Semantic Segmentation. CoRR (2022)
Chong Wang, Yuanhong Chen, Yuyuan Liu, Yu Tian, Fengbei Liu, Davis J. McCarthy, Michael Elliott, Helen Frazer, Gustavo Carneiro
Knowledge Distillation to Ensemble Global and Interpretable Prototype-Based Mammogram Classification Models. MICCAI (3) (2022)
Youssef Dawoud, Katharina Ernst, Gustavo Carneiro, Vasileios Belagiannis
Edge-Based Self-supervision for Semi-supervised Few-Shot Microscopy Image Cell Segmentation. MOVI@MICCAI (2022)
Renato Hermoza, Gabriel Maicas, Jacinto C. Nascimento, Gustavo Carneiro
Censor-aware Semi-supervised Learning for Survival Time Prediction from Medical Images. CoRR (2022)
Adrian Galdran, Gustavo Carneiro, Miguel Ángel González Ballester
On the Optimal Combination of Cross-Entropy and Soft Dice Losses for Lesion Segmentation with Out-of-Distribution Robustness. CoRR (2022)
Hu Wang, Jianpeng Zhang, Yuanhong Chen, Congbo Ma, Jodie Avery, Louise Hull, Gustavo Carneiro
Uncertainty-aware Multi-modal Learning via Cross-modal Random Network Prediction. CoRR (2022)
Yuanhong Chen, Fengbei Liu, Yu Tian, Yuyuan Liu, Gustavo Carneiro
Semantic-guided Image Virtual Attribute Learning for Noisy Multi-label Chest X-ray Classification. CoRR (2022)
Arpit Garg, Cuong Nguyen, Rafael Felix, Thanh-Toan Do, Gustavo Carneiro
Instance-Dependent Noisy Label Learning via Graphical Modelling. CoRR (2022)
Emeson Santana, Gustavo Carneiro, Filipe R. Cordeiro
A Study on the Impact of Data Augmentation for Training Convolutional Neural Networks in the Presence of Noisy Labels. CoRR (2022)
Luiz H. Buris, Daniel C. G. Pedronette, João P. Papa, Jurandy Almeida, Gustavo Carneiro, Fábio A. Faria
Mixup-Based Deep Metric Learning Approaches for Incomplete Supervision. ICIP (2022)
Alvaro R. Ferreira Jr., Fabio Augusto Faria, Gustavo Carneiro, Vinicius Veloso de Melo
An Evolutionary Approach for Creating of Diverse Classifier Ensembles. CoRR (2022)
Fengbei Liu, Yuanhong Chen, Yu Tian, Yuyuan Liu, Chong Wang, Vasileios Belagiannis, Gustavo Carneiro
NVUM: Non-volatile Unbiased Memory for Robust Medical Image Classification. MICCAI (3) (2022)
Emeson Pereira, Gustavo Carneiro, Filipe R. Cordeiro
A Study on the Impact of Data Augmentation for Training Convolutional Neural Networks in the Presence of Noisy Labels. SIBGRAPI (2022)
Adrian Galdran, Katherine J. Hewitt, Narmin Ghaffari Laleh, Jakob N. Kather, Gustavo Carneiro, Miguel A. González Ballester
Test Time Transform Prediction for Open Set Histopathological Image Recognition. MICCAI (2) (2022)
Gerard Snaauw, Michele Sasdelli, Gabriel Maicas, Stephan Lau, Johan Verjans, Mark Jenkinson, Gustavo Carneiro
Mutual information neural estimation for unsupervised multi-modal registration of brain images. CoRR (2022)
Filipe Rolim Cordeiro, Vasileios Belagiannis, Ian Reid, Gustavo Carneiro
PropMix: Hard Sample Filtering and Proportional MixUp for Learning with Noisy Labels. BMVC (2021)
Maria Gabrani, Ender Konukoglu, David Beymer, Gustavo Carneiro, Jannis Born, Michal Guindy, Michal Rosen-Zvi
Lessons Learned from the Development and Application of Medical Imaging-Based AI Technologies for Combating COVID-19: Why Discuss, What Next. CLIP/DCL/LL-COVID19/PPML@MICCAI (2021)
Sergei Bedrikovetski, Nagendra N. Dudi-Venkata, Gabriel Maicas, Hidde M. Kroon, Warren Seow, Gustavo Carneiro, James W. Moore, Tarik Sammour
Artificial intelligence for the diagnosis of lymph node metastases in patients with abdominopelvic malignancy: A systematic review and meta-analysis. Artif. Intell. Medicine 113 (2021)
Fengbei Liu, Yu Tian, Filipe R. Cordeiro, Vasileios Belagiannis, Ian D. Reid, Gustavo Carneiro
Self-supervised Mean Teacher for Semi-supervised Chest X-ray Classification. CoRR (2021)
Fengbei Liu, Yu Tian, Filipe R. Cordeiro, Vasileios Belagiannis, Ian D. Reid, Gustavo Carneiro
Self-supervised Mean Teacher for Semi-supervised Chest X-Ray Classification. MLMI@MICCAI (2021)
Cuong C. Nguyen, Thanh-Toan Do, Gustavo Carneiro
Probabilistic task modelling for meta-learning. CoRR (2021)
Yu Tian, Guansong Pang, Fengbei Liu, Yuanhong Chen, Seon-Ho Shin, Johan W. Verjans, Rajvinder Singh, Gustavo Carneiro
Constrained Contrastive Distribution Learning for Unsupervised Anomaly Detection and Localisation in Medical Images. MICCAI (5) (2021)
Carlos Santiago, Catarina Barata, Michele Sasdelli, Gustavo Carneiro, Jacinto C. Nascimento
LOW: Training deep neural networks by learning optimal sample weights. Pattern Recognit. 110 (2021)
Adrian Galdran, Gustavo Carneiro, Miguel Ángel González Ballester
Convolutional Nets Versus Vision Transformers for Diabetic Foot Ulcer Classification. DFUC@MICCAI (2021)
Renato Hermoza, Gabriel Maicas, Jacinto C. Nascimento, Gustavo Carneiro
Post-hoc Overall Survival Time Prediction from Brain MRI. CoRR (2021)
Yu Tian, Guansong Pang, Yuanhong Chen, Rajvinder Singh, Johan W. Verjans, Gustavo Carneiro
Weakly-supervised Video Anomaly Detection with Robust Temporal Feature Magnitude Learning. ICCV (2021)
Cuong C. Nguyen, Thanh-Toan Do, Gustavo Carneiro
Probabilistic task modelling for meta-learning. UAI (2021)
Yu Tian, Leonardo Zorron Cheng Tao Pu, Yuyuan Liu, Gabriel Maicas, Johan W. Verjans, Alastair D. Burt, Seon-Ho Shin, Rajvinder Singh, Gustavo Carneiro
Detecting, Localising and Classifying Polyps from Colonoscopy Videos using Deep Learning. CoRR (2021)
Adrian Galdran, Gustavo Carneiro, Miguel Ángel González Ballester
Convolutional Nets Versus Vision Transformers for Diabetic Foot Ulcer Classification. CoRR (2021)
Yu Tian, Fengbei Liu, Guansong Pang, Yuanhong Chen, Yuyuan Liu, Johan W. Verjans, Rajvinder Singh, Gustavo Carneiro
Multi-centred Strong Augmentation via Contrastive Learning for Unsupervised Lesion Detection and Segmentation. CoRR (2021)
Sourav Garg, Niko Sünderhauf, Feras Dayoub, Douglas Morrison, Akansel Cosgun, Gustavo Carneiro, Qi Wu, Tat-Jun Chin, Ian D. Reid, Stephen Gould, Peter Corke, Michael Milford
Semantics for Robotic Mapping, Perception and Interaction: A Survey. CoRR (2021)
Renato Hermoza, Gabriel Maicas, Jacinto C. Nascimento, Gustavo Carneiro
Post-Hoc Overall Survival Time Prediction From Brain MRI. ISBI (2021)
Adrian Galdran, Gustavo Carneiro, Miguel Ángel González Ballester
Balanced-MixUp for Highly Imbalanced Medical Image Classification. MICCAI (5) (2021)
Fengbei Liu, Yu Tian, Yuanhong Chen, Yuyuan Liu, Vasileios Belagiannis, Gustavo Carneiro
ACPL: Anti-curriculum Pseudo-labelling forSemi-supervised Medical Image Classification. CoRR (2021)
Adrian Galdran, Gustavo Carneiro, Miguel Ángel González Ballester
Double Encoder-Decoder Networks for Gastrointestinal Polyp Segmentation. CoRR (2021)
Michele Sasdelli, Thalaiyasingam Ajanthan, Tat-Jun Chin, Gustavo Carneiro
A Chaos Theory Approach to Understand Neural Network Optimization. DICTA (2021)
Filipe R. Cordeiro, Vasileios Belagiannis, Ian D. Reid, Gustavo Carneiro
PropMix: Hard Sample Filtering and Proportional MixUp for Learning with Noisy Labels. CoRR (2021)
Hoang-Son Le, Rini Akmeliawati, Gustavo Carneiro
Domain Generalisation with Domain Augmented Supervised Contrastive Learning (Student Abstract). AAAI (2021)
Artur Banach, Mario Strydom, Anjali Tumkur Jaiprakash, Gustavo Carneiro, Anders P. Eriksson, Ross Crawford, Aaron McFadyen
Visual Localisation for Knee Arthroscopy. Int. J. Comput. Assist. Radiol. Surg. 16 (12) (2021)
Minh-Son To, Ian G. Sarno, Chee Chong, Mark Jenkinson, Gustavo Carneiro
Self-Supervised Lesion Change Detection and Localisation in Longitudinal Multiple Sclerosis Brain Imaging. MICCAI (7) (2021)
Hoang-Son Le, Rini Akmeliawati, Gustavo Carneiro
Combining Data Augmentation and Domain Distance Minimisation to Reduce Domain Generalisation Error. DICTA (2021)
Adrian Galdran, Gustavo Carneiro, Miguel Ángel González Ballester
Balanced-MixUp for Highly Imbalanced Medical Image Classification. CoRR (2021)
Ragav Sachdeva, Filipe R. Cordeiro, Vasileios Belagiannis, Ian D. Reid, Gustavo Carneiro
ScanMix: Learning from Severe Label Noise via Semantic Clustering and Semi-Supervised Learning. CoRR (2021)
Yaqub Jonmohamadi, Shahnewaz Ali, Fengbei Liu, Jonathan Roberts, Ross Crawford, Gustavo Carneiro, Ajay K. Pandey
3D Semantic Mapping from Arthroscopy Using Out-of-Distribution Pose and Depth and In-Distribution Segmentation Training. MICCAI (2) (2021)
Yu Tian, Yuyuan Liu, Guansong Pang, Fengbei Liu, Yuanhong Chen, Gustavo Carneiro
Pixel-wise Energy-biased Abstention Learning for Anomaly Segmentation on Complex Urban Driving Scenes. CoRR (2021)
Yuanhong Chen, Yu Tian, Guansong Pang, Gustavo Carneiro
Unsupervised Anomaly Detection and Localisation with Multi-scale Interpolated Gaussian Descriptors. CoRR (2021)
Filipe R. Cordeiro, Ragav Sachdeva, Vasileios Belagiannis, Ian D. Reid, Gustavo Carneiro
LongReMix: Robust Learning with High Confidence Samples in a Noisy Label Environment. CoRR (2021)
Minh-Son To, Ian G. Sarno, Chee Chong, Mark Jenkinson, Gustavo Carneiro
Self-supervised Lesion Change Detection and Localisation in Longitudinal Multiple Sclerosis Brain Imaging. CoRR (2021)
Yu Tian, Guansong Pang, Fengbei Liu, Yuanhong Chen, Seon-Ho Shin, Johan W. Verjans, Rajvinder Singh, Gustavo Carneiro
Constrained Contrastive Distribution Learning for Unsupervised Anomaly Detection and Localisation in Medical Images. CoRR (2021)
Yuyuan Liu, Yu Tian, Yuanhong Chen, Fengbei Liu, Vasileios Belagiannis, Gustavo Carneiro
Perturbed and Strict Mean Teachers for Semi-supervised Semantic Segmentation. CoRR (2021)
Ragav Sachdeva, Filipe R. Cordeiro, Vasileios Belagiannis, Ian D. Reid, Gustavo Carneiro
EvidentialMix: Learning with Combined Open-set and Closed-set Noisy Labels. WACV (2021)
Adrian Galdran, Gustavo Carneiro, Miguel Ángel González Ballester
Multi-Center Polyp Segmentation withDouble Encoder-Decoder Networks. EndoCV@ISBI (2021)
Yu Tian, Guansong Pang, Yuanhong Chen, Rajvinder Singh, Johan W. Verjans, Gustavo Carneiro
Weakly-supervised Video Anomaly Detection with Contrastive Learning of Long and Short-range Temporal Features. CoRR (2021)
Yaqub Jonmohamadi, Shahnewaz Ali, Fengbei Liu, Jonathan Roberts, Ross Crawford, Gustavo Carneiro, Ajay K. Pandey
3D Semantic Mapping from Arthroscopy using Out-of-distribution Pose and Depth and In-distribution Segmentation Training. CoRR (2021)
Cuong C. Nguyen, Thanh-Toan Do, Gustavo Carneiro
Similarity of Classification Tasks. CoRR (2021)
Fengbei Liu, Yu Tian, Filipe R. Cordeiro, Vasileios Belagiannis, Ian D. Reid, Gustavo Carneiro
Noisy Label Learning for Large-scale Medical Image Classification. CoRR (2021)
Gustavo Carneiro, Leonardo Zorron Cheng Tao Pu, Rajvinder Singh, Alastair D. Burt
Deep learning uncertainty and confidence calibration for the five-class polyp classification from colonoscopy. Medical Image Anal. 62 (2020)
David Hall, Feras Dayoub, John Skinner, Haoyang Zhang, Dimity Miller, Peter Corke, Gustavo Carneiro, Anelia Angelova, Niko Sünderhauf
Probabilistic Object Detection: Definition and Evaluation. WACV (2020)
Renato Hermoza, Gabriel Maicas, Jacinto C. Nascimento, Gustavo Carneiro
Region Proposals for Saliency Map Refinement for Weakly-supervised Disease Localisation and Classification. CoRR (2020)
Renato Hermoza, Gabriel Maicas, Jacinto C. Nascimento, Gustavo Carneiro
Region Proposals for Saliency Map Refinement for Weakly-Supervised Disease Localisation and Classification. MICCAI (6) (2020)

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Publication Activity (10 Years)

Top Topics

Top Venues

Gustavo Carneiro