Lessons Learned From Cloudsen12 Dataset: Identifying Incorrect Annotations in Cloud Semantic Segmentation Datasets.
Cesar AybarDavid MonteroGonzalo Mateo-GarcíaLuis Gómez-ChovaPublished in: IGARSS (2023)
Keyphrases
- lessons learned
- pascal voc
- semantic segmentation
- object detection
- bag of words
- object recognition
- object categories
- street scenes
- object classification
- object classes
- object segmentation
- case study
- test images
- label transfer
- object class
- weakly supervised
- image annotation
- text classification
- natural images
- graph cuts
- image classification
- image set
- conditional random fields
- visual words
- data sets
- action recognition
- image representation
- computer vision
- d objects
- image features
- information extraction
- ground truth
- hidden markov models