VisionZip: Longer is Better but Not Necessary in Vision Language Models

5 December 2024

Papers citing "VisionZip: Longer is Better but Not Necessary in Vision Language Models"

7 / 7 papers shown

Title
Streamline Without Sacrifice - Squeeze out Computation Redundancy in LMM Penghao Wu Lewei Lu Ziwei Liu 81 0 0 21 May 2025
Top-Down Compression: Revisit Efficient Vision Token Projection for Visual Instruction Tuning Bonan li Zicheng Zhang Songhua Liu Weihao Yu Xinchao Wang VLM 103 0 0 17 May 2025
VCM: Vision Concept Modeling Based on Implicit Contrastive Learning with Vision-Language Instruction Fine-Tuning Run Luo Renke Shan Longze Chen Ziqiang Liu Lu Wang Min Yang Xiaobo Xia MLLM VLM 214 1 0 28 Apr 2025
MMInference: Accelerating Pre-filling for Long-Context VLMs via Modality-Aware Permutation Sparse Attention Yucheng Li Huiqiang Jiang Chengruidong Zhang Qianhui Wu Xufang Luo ... Amir H. Abdi Dongsheng Li Jianfeng Gao Yue Yang Lili Qiu 78 2 0 22 Apr 2025
Skip-Vision: Efficient and Scalable Acceleration of Vision-Language Models via Adaptive Token Skipping Weili Zeng Ziyuan Huang Kaixiang Ji Yichao Yan VLM 175 1 0 26 Mar 2025
Does Your Vision-Language Model Get Lost in the Long Video Sampling Dilemma? Tianyuan Qu Longxiang Tang Bohao Peng Senqiao Yang Bei Yu Jiaya Jia VLM 390 0 0 16 Mar 2025
FOLDER: Accelerating Multi-modal Large Language Models with Enhanced Performance Haicheng Wang Zhemeng Yu Gabriele Spadaro Chen Ju Victor Quétu Enzo Tartaglione Enzo Tartaglione VLM 332 6 0 05 Jan 2025