8 citations · 11 across the 9 of their papers we have counts for
6 papers · 1 filter
Controllable Relation Disentanglement for Few-Shot Class-Incremental Learning
Yuan Zhou, Richang Hong, Yanrong Guo +3
In this paper, we propose to tackle Few-Shot Class-Incremental Learning (FSCIL) from a new perspective, i.e., relation disentanglement, which means enhancing FSCIL via disentanglin…
Advancing Incremental Few-shot Semantic Segmentation via Semantic-guided Relation Alignment and Adaptation
Yuan Zhou, Xin Chen, Yanrong Guo +3
Incremental few-shot semantic segmentation (IFSS) aims to incrementally extend a semantic segmentation model to novel classes according to only a few pixel-level annotated data, wh…
Decoupled Low-light Image Enhancement
Shijie Hao, Xu Han, Yanrong Guo +1
The visual quality of photographs taken under imperfect lightness conditions can be degenerated by multiple factors, e.g., low lightness, imaging noise, color distortion and so on.…
Few-shot Learning with Global Relatedness Decoupled-Distillation
Yuan Zhou, Yanrong Guo, Shijie Hao +3
Despite the success that metric learning based approaches have achieved in few-shot learning, recent works reveal the ineffectiveness of their episodic training mode. In this paper…
Few-shot Partial Multi-view Learning
Yuan Zhou, Yanrong Guo, Shijie Hao +2
It is often the case that data are with multiple views in real-world applications. Fully exploring the information of each view is significant for making data more representative.…
Real-time Semantic Segmentation via Spatial-detail Guided Context Propagation
Shijie Hao, Yuan Zhou, Yanrong Guo +3
Nowadays, vision-based computing tasks play an important role in various real-world applications. However, many vision computing tasks, e.g. semantic segmentation, are usually comp…