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Xiangzi Dai

2 accepted papers

2025

CLIP-CID: Efficient CLIP Distillation via Cluster-Instance Discrimination

AAAI 2025technical

Contrastive Language-Image Pre-training (CLIP) has achieved excellent performance over a wide range of tasks. However, the effectiveness of CLIP heavily relies on a substantial corpus of pre-training data, resulting in notable consumption of computational resources. Although knowledge distillation h…

Cited by 5SourcePDFScholar
2024

Multi-Label Cluster Discrimination for Visual Representation Learning

ECCV 2024poster

"Contrastive Language Image Pre-training (CLIP) has recently demonstrated success across various tasks due to superior feature representation empowered by image-text contrastive learning. However, the instance discrimination method used by CLIP can hardly encode the semantic structure of training da…