7 citations · 11 across the 3 of their papers we have counts for
3 papers
cs.CV2022★ 7 cited
Delving into the Continuous Domain Adaptation
Yinsong Xu, Zhuqing Jiang, Aidong Men +2
Existing domain adaptation methods assume that domain discrepancies are caused by a few discrete attributes and variations, e.g., art, real, painting, quickdraw, etc. We argue that…
cs.MM2022
Dynamic Contrastive Distillation for Image-Text Retrieval
Jun Rao, Liang Ding, Shuhan Qi +4
Although the vision-and-language pretraining (VLP) equipped cross-modal image-text retrieval (ITR) has achieved remarkable progress in the past two years, it suffers from a major d…
cs.CV2021★ 4 cited
Cross Modal Retrieval with Querybank Normalisation
Simion-Vlad Bogolin, Ioana Croitoru, Hailin Jin +2
Profiting from large-scale training datasets, advances in neural architecture design and efficient inference, joint embeddings have become the dominant approach for tackling cross-…