13 citations · 35 across the 7 of their papers we have counts for
7 papers · 1 filter
DCP-CLIP:A Coarse-to-Fine Framework for Open-Vocabulary Semantic Segmentation with Dual Interaction
Jing Wang, Huimin Shi, Quan Zhou +3
The recent years have witnessed the remarkable development for open-vocabulary semantic segmentation (OVSS) using visual-language foundation models, yet still suffer from following…
Dynamic Contrastive Learning for Hierarchical Retrieval: A Case Study of Distance-Aware Cross-View Geo-Localization
Suofei Zhang, Xinxin Wang, Xiaofu Wu +2
Existing deep learning-based cross-view geo-localization methods primarily focus on improving the accuracy of cross-domain image matching, rather than enabling models to comprehens…
FPB: Feature Pyramid Branch for Person Re-Identification
Suofei Zhang, Zirui Yin, Xiofu Wu +3
High performance person Re-Identification (Re-ID) requires the model to focus on both global silhouette and local details of pedestrian. To extract such more representative feature…
Branch-Cooperative OSNet for Person Re-Identification
Lei Zhang, Xiaofu Wu, Suofei Zhang +1
Multi-branch is extensively studied for learning rich feature representation for person re-identification (Re-ID). In this paper, we propose a branch-cooperative architecture over…
Diversity-Achieving Slow-DropBlock Network for Person Re-Identification
Xiaofu Wu, Ben Xie, Shiliang Zhao +3
A big challenge of person re-identification (Re-ID) using a multi-branch network architecture is to learn diverse features from the ID-labeled dataset. The 2-branch Batch DropBlock…
Learning Diverse Features with Part-Level Resolution for Person Re-Identification
Ben Xie, Xiaofu Wu, Suofei Zhang +2
Learning diverse features is key to the success of person re-identification. Various part-based methods have been extensively proposed for learning local representations, which, ho…