5 papers
Prompt-Anchored Vision-Text Distillation for Lifelong Person Re-identification
Wen Wen, Hao Chen, Shiliang Zhang
Lifelong person re-identification (LReID) aims to train a generalizable model with sequentially collected data. However, such models often suffer from semantic drift, limited adapt…
Dataset Distillation for Histopathology Image Classification
Cong Cong, Shiyu Xuan, Sidong Liu +3
Deep neural networks (DNNs) have exhibited remarkable success in the field of histopathology image analysis. On the other hand, the contemporary trend of employing large models and…
LocLLM: Exploiting Generalizable Human Keypoint Localization via Large Language Model
Dongkai Wang, Shiyu Xuan, Shiliang Zhang
The capacity of existing human keypoint localization models is limited by keypoint priors provided by the training data. To alleviate this restriction and pursue more general model…
Pink: Unveiling the Power of Referential Comprehension for Multi-modal LLMs
Shiyu Xuan, Qingpei Guo, Ming Yang +1
Multi-modal Large Language Models (MLLMs) have shown remarkable capabilities in various multi-modal tasks. Nevertheless, their performance in fine-grained image understanding tasks…
Decoupled Contrastive Learning for Long-Tailed Recognition
Shiyu Xuan, Shiliang Zhang
Supervised Contrastive Loss (SCL) is popular in visual representation learning. Given an anchor image, SCL pulls two types of positive samples, i.e., its augmentation and other ima…