Collaborative Label Correction via Entropy Thresholding

no code implementations • 31 Mar 2021 • Hao Wu, Jiangchao Yao, Jiajie Wang, Yinru Chen, Ya zhang, Yanfeng Wang

Deep neural networks (DNNs) have the capacity to fit extremely noisy labels nonetheless they tend to learn data with clean labels first and then memorize those with noisy labels.

Collaborative Learning for Weakly Supervised Object Detection

no code implementations • 10 Feb 2018 • Jiajie Wang, Jiangchao Yao, Ya zhang, Rui Zhang

For object detection, taking WSDDN-like architecture as weakly supervised detector sub-network and Faster-RCNN-like architecture as strongly supervised detector sub-network, we propose an end-to-end Weakly Supervised Collaborative Detection Network.

Object object-detection +1

Deep Learning from Noisy Image Labels with Quality Embedding

no code implementations • 2 Nov 2017 • Jiangchao Yao, Jiajie Wang, Ivor Tsang, Ya zhang, Jun Sun, Chengqi Zhang, Rui Zhang

However, the label noise among the datasets severely degenerates the \mbox{performance of deep} learning approaches.