Papers › Representation Compensation Networks for Continual Semantic Segmentation
Representation Compensation Networks for Continual Semantic Segmentation
Chang-Bin Zhang, Jia-Wen Xiao, Xialei Liu, Ying-Cong Chen, Ming-Ming Cheng
In this work, we study the continual semantic segmentation problem, where the deep neural networks are required to incorporate new classes continually without catastrophic forgetting. We propose to use a structural re-parameterization mechanism, named representation compensation (RC) module, to decouple the representation learning of both old and new knowledge. The RC module consists of two dynamically evolved branches with one frozen and one trainable. Besides, we design a pooled cube knowledge distillation strategy on both spatial and channel dimensions to further enhance the plasticity and stability of the model. We conduct experiments on two challenging continual semantic segmentation scenarios, continual class segmentation and continual domain segmentation. Without any extra computational overhead and parameters during inference, our method outperforms state-of-the-art performance. The code is available at \url{https://github.com/zhangchbin/RCIL}.
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Tasks
Results from the paper archive 2025-07-28
| Task | Dataset | Model | Metric | Value | Rank at snapshot | Leaderboard | Report |
|---|---|---|---|---|---|---|---|
| Disjoint 10-1 | PASCAL VOC 2012 | RCNet-101 | mIoU | 18.2 | #3 of 8 | Archive leaderboard | report |
| Disjoint 15-1 | PASCAL VOC 2012 | RCNet-101 | mIoU | 54.7 | #4 of 9 | Archive leaderboard | report |
| Disjoint 15-5 | PASCAL VOC 2012 | RCNet-101 | Mean IoU | 67.3 | #4 of 9 | Archive leaderboard | report |
| Overlapped 10-1 | PASCAL VOC 2012 | RCNet-101 | mIoU | 34.3 | #8 of 13 | Archive leaderboard | report |
| Overlapped 100-10 | ADE20K | RCNet-101 | Mean IoU (test) | 32.1 | #4 of 6 | Archive leaderboard | report |
| Overlapped 100-5 | ADE20K | RCNet-101 | mIoU | 29.6 | #5 of 8 | Archive leaderboard | report |
| Overlapped 100-50 | ADE20K | RCNet-101 | mIoU | 34.5 | #3 of 7 | Archive leaderboard | report |
| Overlapped 15-1 | PASCAL VOC 2012 | RCNet-101 | mIoU | 59.4 | #8 of 13 | Archive leaderboard | report |
| Overlapped 15-5 | PASCAL VOC 2012 | RCNet-101 | Mean IoU (val) | 72.4 | #5 of 13 | Archive leaderboard | report |
| Overlapped 50-50 | ADE20K | RCNet-101 | mIoU | 32.5 | #3 of 7 | Archive leaderboard | report |
Ranks are positions in the archive's leaderboards as they stood at the 2025-07-28 snapshot. Results published since then are not among these rows, so a rank here is not a current standing.
Methods
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