Papers Overlapped 50-50

“Overlapped 50-50” 태그가 달린 논문 5편 · 필터 해제

Mitigating Background Shift in Class-Incremental Semantic Segmentation

2024-07-16 · Gilhan Park, WonJun Moon, SuBeen Lee, Tae-Young Kim 외

Class-Incremental Semantic Segmentation(CISS) aims to learn new classes without forgetting the old ones, using only the labels of the new classes. To achieve this, two popular strategies are employed: 1) pseudo-labeling …

Class Incremental Learning Class-Incremental Semantic Segmentation Continual Learning Continual Semantic Segmentation+15

Attribution-aware Weight Transfer: A Warm-Start Initialization for Class-Incremental Semantic Segmentation

2022-10-13 · Dipam Goswami, René Schuster, Joost Van de Weijer, Didier Stricker

In class-incremental semantic segmentation (CISS), deep learning architectures suffer from the critical problems of catastrophic forgetting and semantic background shift. Although recent works focused on these issues, ex…

Class-Incremental Semantic Segmentation Continual Learning Overlapped 100-10 Overlapped 100-5+8

Representation Compensation Networks for Continual Semantic Segmentation

2022-03-10 · CVPR 2022 1 · Chang-Bin Zhang, Jia-Wen Xiao, Xialei Liu, Ying-Cong Chen 외

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-pa…

Class Incremental Learning Continual Learning Continual Semantic Segmentation Disjoint 10-1+15

SSUL: Semantic Segmentation with Unknown Label for Exemplar-based Class-Incremental Learning

2021-06-22 · NeurIPS 2021 12 · Sungmin Cha, Beomyoung Kim, Youngjoon Yoo, Taesup Moon

This paper introduces a solid state-of-the-art baseline for a class-incremental semantic segmentation (CISS) problem. While the recent CISS algorithms utilize variants of the knowledge distillation (KD) technique to tack…

class-incremental learning Class Incremental Learning Class-Incremental Semantic Segmentation Continual Semantic Segmentation+14

PLOP: Learning without Forgetting for Continual Semantic Segmentation

2020-11-23 · CVPR 2021 1 · Arthur Douillard, Yifu Chen, Arnaud Dapogny, Matthieu Cord

Deep learning approaches are nowadays ubiquitously used to tackle computer vision tasks such as semantic segmentation, requiring large datasets and substantial computational power. Continual learning for semantic segment…

Class Incremental Learning Continual Learning Continual Semantic Segmentation Disjoint 10-1+15