3 citations · 3 across the 3 of their papers we have counts for
4 papers
ReCLIP: Refine Contrastive Language Image Pre-Training with Source Free Domain Adaptation
Xuefeng Hu, Ke Zhang, Lu Xia +9
Large-scale Pre-Training Vision-Language Model such as CLIP has demonstrated outstanding performance in zero-shot classification, e.g. achieving 76.3% top-1 accuracy on ImageNet wi…
Video Question Answering with Phrases via Semantic Roles
Arka Sadhu, Kan Chen, Ram Nevatia
Video Question Answering (VidQA) evaluation metrics have been limited to a single-word answer or selecting a phrase from a fixed set of phrases. These metrics limit the VidQA model…
Utilizing Every Image Object for Semi-supervised Phrase Grounding
Haidong Zhu, Arka Sadhu, Zhaoheng Zheng +1
Phrase grounding models localize an object in the image given a referring expression. The annotated language queries available during training are limited, which also limits the va…
Curriculum DeepSDF
Yueqi Duan, Haidong Zhu, He Wang +3
When learning to sketch, beginners start with simple and flexible shapes, and then gradually strive for more complex and accurate ones in the subsequent training sessions. In this…