67 citations · 145 across the 13 of their papers we have counts for
4 papers · 1 filter
Memorizing Complementation Network for Few-Shot Class-Incremental Learning
Zhong Ji, Zhishen Hou, Xiyao Liu +2
Few-shot Class-Incremental Learning (FSCIL) aims at learning new concepts continually with only a few samples, which is prone to suffer the catastrophic forgetting and overfitting…
BatchFormerV2: Exploring Sample Relationships for Dense Representation Learning
Zhi Hou, Baosheng Yu, Chaoyue Wang +2
Attention mechanisms have been very popular in deep neural networks, where the Transformer architecture has achieved great success in not only natural language processing but also…
BatchFormer: Learning to Explore Sample Relationships for Robust Representation Learning
Zhi Hou, Baosheng Yu, Dacheng Tao
Despite the success of deep neural networks, there are still many challenges in deep representation learning due to the data scarcity issues such as data imbalance, unseen distribu…
Discovering Human-Object Interaction Concepts via Self-Compositional Learning
Zhi Hou, Baosheng Yu, Dacheng Tao
A comprehensive understanding of human-object interaction (HOI) requires detecting not only a small portion of predefined HOI concepts (or categories) but also other reasonable HOI…