36 citations · 62 across the 5 of their papers we have counts for
5 papers
Referring Expression Comprehension Using Language Adaptive Inference
Wei Su, Peihan Miao, Huanzhang Dou +2
Different from universal object detection, referring expression comprehension (REC) aims to locate specific objects referred to by natural language expressions. The expression prov…
Memory Efficient Class-Incremental Learning for Image Classification
Hanbin Zhao, Hui Wang, Yongjian Fu +2
With the memory-resource-limited constraints, class-incremental learning (CIL) usually suffers from the "catastrophic forgetting" problem when updating the joint classification mod…
What and Where: Learn to Plug Adapters via NAS for Multi-Domain Learning
Hanbin Zhao, Hao Zeng, Xin Qin +4
As an important and challenging problem, multi-domain learning (MDL) typically seeks for a set of effective lightweight domain-specific adapter modules plugged into a common domain…
MgSvF: Multi-Grained Slow vs. Fast Framework for Few-Shot Class-Incremental Learning
Hanbin Zhao, Yongjian Fu, Mintong Kang +3
As a challenging problem, few-shot class-incremental learning (FSCIL) continually learns a sequence of tasks, confronting the dilemma between slow forgetting of old knowledge and f…
Semantic Neighborhood-Aware Deep Facial Expression Recognition
Yongjian Fu, Xintian Wu, Xi Li +2
Different from many other attributes, facial expression can change in a continuous way, and therefore, a slight semantic change of input should also lead to the output fluctuation…