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cs.CV2025
Unsupervised Stereo via Multi-Baseline Geometry-Consistent Self-Training
Peng Xu, Zhiyu Xiang, Tingming Bai +5
Photometric loss and pseudo-label-based self-training are two widely used methods for training stereo networks on unlabeled data. However, they both struggle to provide accurate su…
cs.CV2021
Real-time Instance Segmentation with Discriminative Orientation Maps
Wentao Du, Zhiyu Xiang, Shuya Chen +3
Although instance segmentation has made considerable advancement over recent years, it's still a challenge to design high accuracy algorithms with real-time performance. In this pa…