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cs.CV2022★ 1 cited
Improving Long-tailed Object Detection with Image-Level Supervision by Multi-Task Collaborative Learning
Bo Li, Yongqiang Yao, Jingru Tan +4
Data in real-world object detection often exhibits the long-tailed distribution. Existing solutions tackle this problem by mitigating the competition between the head and tail cate…
cs.CV2021
PoissonSeg: Semi-Supervised Few-Shot Medical Image Segmentation via Poisson Learning
Xiaoang Shen, Guokai Zhang, Huilin Lai +3
The application of deep learning to medical image segmentation has been hampered due to the lack of abundant pixel-level annotated data. Few-shot Semantic Segmentation (FSS) is a p…
cs.CV2021
L-SNet: from Region Localization to Scale Invariant Medical Image Segmentation
Jiahao Xie, Sheng Zhang, Jianwei Lu +1
Coarse-to-fine models and cascade segmentation architectures are widely adopted to solve the problem of large scale variations in medical image segmentation. However, those methods…