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

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

18 August 2024

Weidong Cai

Jiankang Deng

Papers citing "CLIP-CID: Efficient CLIP Distillation via Cluster-Instance Discrimination"

4 / 4 papers shown

Title
$Simple Semi-supervised Knowledge Distillation from Vision-Language Models via $\mathbf{\texttt{D}}$ual-$\mathbf{\texttt{H}}$ead $\mathbf{\texttt{O}}$ptimization$ Simple Semi-supervised Knowledge Distillation from Vision-Language Models via $\mathbf{\texttt{D}}$ ual- $\mathbf{\texttt{H}}$ ead $\mathbf{\texttt{O}}$ ptimization Seongjae Kang Dong Bok Lee Hyungjoon Jang Sung Ju Hwang VLM 38 0 0 12 May 2025
Decoupled Global-Local Alignment for Improving Compositional Understanding Xiaoxing Hu Kaicheng Yang J. Z. Wang Haoran Xu Ziyong Feng Y. Wang VLM 89 0 0 23 Apr 2025
CLIP-PING: Boosting Lightweight Vision-Language Models with Proximus Intrinsic Neighbors Guidance Chu Myaet Thwal Ye Lin Tun Minh N. H. Nguyen Eui-nam Huh Choong Seon Hong VLM 74 0 0 05 Dec 2024
Contrastive Learning Rivals Masked Image Modeling in Fine-tuning via Feature Distillation Yixuan Wei Han Hu Zhenda Xie Zheng-Wei Zhang Yue Cao Jianmin Bao Dong Chen B. Guo CLIP 83 124 0 27 May 2022