3 papers
cs.CV2026
MAC: A Benchmark for Multiple Attributes Compositional Zero-Shot Learning
Shuo Xu, Sai Wang, Xinyue Hu +3
Compositional Zero-Shot Learning (CZSL) aims to learn semantic primitives (attributes and objects) from seen compositions and recognize unseen attribute-object compositions. Existi…
cs.CV2025
No More Sibling Rivalry: Debiasing Human-Object Interaction Detection
Bin Yang, Yulin Zhang, Hong-Yu Zhou +1
Detection transformers have been applied to human-object interaction (HOI) detection, enhancing the localization and recognition of human-action-object triplets in images. Despite…
cs.CV2025
TransXNet: Learning Both Global and Local Dynamics with a Dual Dynamic Token Mixer for Visual Recognition
Meng Lou, Shu Zhang, Hong-Yu Zhou +3
Recent studies have integrated convolutions into transformers to introduce inductive bias and improve generalization performance. However, the static nature of conventional convolu…