ComKD-CLIP: Comprehensive Knowledge Distillation for Contrastive
Language-Image Pre-traning Model

ComKD-CLIP: Comprehensive Knowledge Distillation for Contrastive Language-Image Pre-traning Model

8 August 2024

Xuelong Li

Papers citing "ComKD-CLIP: Comprehensive Knowledge Distillation for Contrastive Language-Image Pre-traning Model"

5 / 5 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 29 0 0 12 May 2025
Bidirectional Prototype-Reward co-Evolution for Test-Time Adaptation of Vision-Language Models Xiaozhen Qiao Peng Huang Jiakang Yuan Xianda Guo Bowen Ye Zhe Sun Xuelong Li 57 0 0 12 Mar 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 72 0 0 05 Dec 2024
MoPE-CLIP: Structured Pruning for Efficient Vision-Language Models with Module-wise Pruning Error Metric Haokun Lin Haoli Bai Zhili Liu Lu Hou Muyi Sun Linqi Song Ying Wei Zhenan Sun CLIP VLM 44 13 0 12 Mar 2024
Improving CLIP Robustness with Knowledge Distillation and Self-Training Clement Laroudie Andrei Bursuc Mai Lan Ha Gianni Franchi VLM 22 5 0 19 Sep 2023