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One-Shot Knowledge Transfer for Scalable Person Re-Identification
Longhua Li, Lei Qi, Xin Geng
Edge computing in person re-identification (ReID) is crucial for reducing the load on central cloud servers and ensuring user privacy. Conventional compression methods for obtainin…
CILP-FGDI: Exploiting Vision-Language Model for Generalizable Person Re-Identification
Huazhong Zhao, Lei Qi, Xin Geng
The Visual Language Model, known for its robust cross-modal capabilities, has been extensively applied in various computer vision tasks. In this paper, we explore the use of CLIP (…
BatStyler: Advancing Multi-category Style Generation for Source-free Domain Generalization
Xiusheng Xu, Lei Qi, Jingyang Zhou +1
Source-Free Domain Generalization (SFDG) aims to develop a model that performs on unseen domains without relying on any source domains. However, the implementation remains constrai…
CLIP-DFGS: A Hard Sample Mining Method for CLIP in Generalizable Person Re-Identification
Huazhong Zhao, Lei Qi, Xin Geng
Recent advancements in pre-trained vision-language models like CLIP have shown promise in person re-identification (ReID) applications. However, their performance in generalizable…
DoubleAUG: Single-domain Generalized Object Detector in Urban via Color Perturbation and Dual-style Memory
Lei Qi, Peng Dong, Tan Xiong +2
Object detection in urban scenarios is crucial for autonomous driving in intelligent traffic systems. However, unlike conventional object detection tasks, urban-scene images vary g…