most citedProgressive Domain Expansion Network for Single Domain Generalization

13 citations · 20 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2022★ 3 cited

CODER: Coupled Diversity-Sensitive Momentum Contrastive Learning for Image-Text Retrieval

Haoran Wang, Dongliang He, Wenhao Wu +7

Image-Text Retrieval (ITR) is challenging in bridging visual and lingual modalities. Contrastive learning has been adopted by most prior arts. Except for limited amount of negative…

cs.CV2022★ 1 cited

NSNet: Non-saliency Suppression Sampler for Efficient Video Recognition

Boyang Xia, Wenhao Wu, Haoran Wang +5

It is challenging for artificial intelligence systems to achieve accurate video recognition under the scenario of low computation costs. Adaptive inference based efficient video re…

cs.CV2022★ 2 cited

Temporal Saliency Query Network for Efficient Video Recognition

Boyang Xia, Zhihao Wang, Wenhao Wu +2

Efficient video recognition is a hot-spot research topic with the explosive growth of multimedia data on the Internet and mobile devices. Most existing methods select the salient f…

cs.CV2021★ 1 cited

Temporal Action Proposal Generation with Background Constraint

Haosen Yang, Wenhao Wu, Lining Wang +4

Temporal action proposal generation (TAPG) is a challenging task that aims to locate action instances in untrimmed videos with temporal boundaries. To evaluate the confidence of pr…

cs.CV2021★ 13 cited

Progressive Domain Expansion Network for Single Domain Generalization

Lei Li, Ke Gao, Juan Cao +6

Single domain generalization is a challenging case of model generalization, where the models are trained on a single domain and tested on other unseen domains. A promising solution…