471 citations · 1.5k across the 21 of their papers we have counts for
4 papers · 1 filter
TCP:Textual-based Class-aware Prompt tuning for Visual-Language Model
Hantao Yao, Rui Zhang, Changsheng Xu
Prompt tuning represents a valuable technique for adapting pre-trained visual-language models (VLM) to various downstream tasks. Recent advancements in CoOp-based methods propose a…
Learning Domain-Aware Detection Head with Prompt Tuning
Haochen Li, Rui Zhang, Hantao Yao +5
Domain adaptive object detection (DAOD) aims to generalize detectors trained on an annotated source domain to an unlabelled target domain. However, existing methods focus on reduci…
Camera-Incremental Object Re-Identification with Identity Knowledge Evolution
Hantao Yao, Lu Yu, Jifei Luo +1
Object Re-identification (ReID) aims to retrieve the probe object from many gallery images with the ReID model inferred based on a stationary camera-free dataset by associating and…
Visual-Language Prompt Tuning with Knowledge-guided Context Optimization
Hantao Yao, Rui Zhang, Changsheng Xu
Prompt tuning is an effective way to adapt the pre-trained visual-language model (VLM) to the downstream task using task-related textual tokens. Representative CoOp-based work comb…