2 citations · 8 across the 5 of their papers we have counts for
5 papers
Integrating Listwise Ranking into Pairwise-based Image-Text Retrieval
Zheng Li, Caili Guo, Xin Wang +2
Image-Text Retrieval (ITR) is essentially a ranking problem. Given a query caption, the goal is to rank candidate images by relevance, from large to small. The current ITR datasets…
Selectively Hard Negative Mining for Alleviating Gradient Vanishing in Image-Text Matching
Zheng Li, Caili Guo, Xin Wang +2
Recently, a series of Image-Text Matching (ITM) methods achieve impressive performance. However, we observe that most existing ITM models suffer from gradients vanishing at the beg…
Image-Text Retrieval with Binary and Continuous Label Supervision
Zheng Li, Caili Guo, Zerun Feng +3
Most image-text retrieval work adopts binary labels indicating whether a pair of image and text matches or not. Such a binary indicator covers only a limited subset of image-text s…
Unified Loss of Pair Similarity Optimization for Vision-Language Retrieval
Zheng Li, Caili Guo, Xin Wang +3
There are two popular loss functions used for vision-language retrieval, i.e., triplet loss and contrastive learning loss, both of them essentially minimize the difference between…
Exploiting Visual Semantic Reasoning for Video-Text Retrieval
Zerun Feng, Zhimin Zeng, Caili Guo +1
Video retrieval is a challenging research topic bridging the vision and language areas and has attracted broad attention in recent years. Previous works have been devoted to repres…