A DNN Training Processor for Robust Object Detection with Real-World Environmental Adaptation.
Donghyeon HanDongseok ImGwangtae ParkYoungwoo KimSeokchan SongJuhyoung LeeHoi-Jun YooPublished in: AICAS (2022)
Keyphrases
- object detection
- real world
- training process
- training set
- high speed
- synthetic data
- data sets
- wide range
- case study
- artificial neural networks
- training examples
- test set
- object classification
- deformable part models
- object recognition
- computer architecture
- training phase
- data mining
- feature descriptors
- pedestrian detection
- object categories
- background subtraction
- machine learning
- learning algorithm
- case based reasoning