Module-wise Adaptive Distillation for Multimodality Foundation Models

Module-wise Adaptive Distillation for Multimodality Foundation Models

6 October 2023

Ming-Hsuan Yang

Matthew A. Brown

Papers citing "Module-wise Adaptive Distillation for Multimodality Foundation Models"

4 / 4 papers shown

Title
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
Dinomaly: The Less Is More Philosophy in Multi-Class Unsupervised Anomaly Detection Jia Guo Shuai Lu Weihang Zhang Huiqi Li Huiqi Li Hongen Liao ViT 56 7 0 23 May 2024
How Much Can CLIP Benefit Vision-and-Language Tasks? Sheng Shen Liunian Harold Li Hao Tan Mohit Bansal Anna Rohrbach Kai-Wei Chang Z. Yao Kurt Keutzer CLIP VLM MLLM 185 403 0 13 Jul 2021
Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision Chao Jia Yinfei Yang Ye Xia Yi-Ting Chen Zarana Parekh Hieu H. Pham Quoc V. Le Yun-hsuan Sung Zhen Li Tom Duerig VLM CLIP 293 3,683 0 11 Feb 2021