2 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.CV2024
CIT: Rethinking Class-incremental Semantic Segmentation with a Class Independent Transformation
Jinchao Ge, Bowen Zhang, Akide Liu +4
Class-incremental semantic segmentation (CSS) requires that a model learn to segment new classes without forgetting how to segment previous ones: this is typically achieved by dist…
cs.CV2024
Source-Free Unsupervised Domain Adaptation with Hypothesis Consolidation of Prediction Rationale
Yangyang Shu, Xiaofeng Cao, Qi Chen +4
Source-Free Unsupervised Domain Adaptation (SFUDA) is a challenging task where a model needs to be adapted to a new domain without access to target domain labels or source domain d…
cs.CV2022★ 2 cited
Improving Fine-Grained Visual Recognition in Low Data Regimes via Self-Boosting Attention Mechanism
Yangyang Shu, Baosheng Yu, Haiming Xu +1
The challenge of fine-grained visual recognition often lies in discovering the key discriminative regions. While such regions can be automatically identified from a large-scale lab…