Overlapped 5-3
1개 벤치마크 · 논문 3편 · 이 태스크의 논문 보기 →
Benchmarks
PASCAL VOC 2012
결과 28개
Most implemented
Mitigating Background Shift in Class-Incremental Semantic Segmentation
2024-07-16 · 구현 1개
Attribution-aware Weight Transfer: A Warm-Start Initialization for Class-Incremental Semantic Segmentation
2022-10-13 · 구현 1개
SATS: Self-Attention Transfer for Continual Semantic Segmentation
2022-03-15 · 구현 1개
Papers
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 LearningClass-Incremental Semantic SegmentationContinual LearningContinual Semantic Segmentation+15Attribution-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 SegmentationContinual LearningOverlapped 100-10Overlapped 100-5+8SATS: Self-Attention Transfer for Continual Semantic Segmentation
2022-03-15
· Yiqiao Qiu, Yixing Shen, Zhuohao Sun, Yanchong Zheng 외
Continually learning to segment more and more types of image regions is a desired capability for many intelligent systems. However, such continual semantic segmentation suffers from the same catastrophic forgetting issue…
Continual Semantic SegmentationKnowledge DistillationOverlapped 100-10Overlapped 10-1+7