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CP-ViT: Cascade Vision Transformer Pruning via Progressive Sparsity
  Prediction

CP-ViT: Cascade Vision Transformer Pruning via Progressive Sparsity Prediction

9 March 2022
Zhuoran Song
Yihong Xu
Zhezhi He
Li Jiang
Naifeng Jing
Xiaoyao Liang
    ViT
ArXivPDFHTML

Papers citing "CP-ViT: Cascade Vision Transformer Pruning via Progressive Sparsity Prediction"

25 / 25 papers shown
Title
AutoSculpt: A Pattern-based Model Auto-pruning Framework Using
  Reinforcement Learning and Graph Learning
AutoSculpt: A Pattern-based Model Auto-pruning Framework Using Reinforcement Learning and Graph Learning
Lixian Jing
Jianpeng Qi
Junyu Dong
Yanwei Yu
3DPC
AI4CE
29
0
0
24 Dec 2024
ImagePiece: Content-aware Re-tokenization for Efficient Image
  Recognition
ImagePiece: Content-aware Re-tokenization for Efficient Image Recognition
Seungdong Yoa
Seungjun Lee
Hyeseung Cho
Bumsoo Kim
Woohyung Lim
ViT
67
0
0
21 Dec 2024
ED-ViT: Splitting Vision Transformer for Distributed Inference on Edge
  Devices
ED-ViT: Splitting Vision Transformer for Distributed Inference on Edge Devices
Xiang Liu
Yijun Song
Xia Li
Yifei Sun
Huiying Lan
Zemin Liu
Linshan Jiang
Jialin Li
17
0
0
15 Oct 2024
Agglomerative Token Clustering
Agglomerative Token Clustering
Joakim Bruslund Haurum
Sergio Escalera
Graham W. Taylor
T. Moeslund
19
1
0
18 Sep 2024
Vote&Mix: Plug-and-Play Token Reduction for Efficient Vision Transformer
Vote&Mix: Plug-and-Play Token Reduction for Efficient Vision Transformer
Shuai Peng
Di Fu
Baole Wei
Yong Cao
Liangcai Gao
Zhi Tang
ViT
22
1
0
30 Aug 2024
Sparse Refinement for Efficient High-Resolution Semantic Segmentation
Sparse Refinement for Efficient High-Resolution Semantic Segmentation
Zhijian Liu
Zhuoyang Zhang
Samir Khaki
Shang Yang
Haotian Tang
Chenfeng Xu
Kurt Keutzer
Song Han
SSeg
29
0
0
26 Jul 2024
Token-level Correlation-guided Compression for Efficient Multimodal
  Document Understanding
Token-level Correlation-guided Compression for Efficient Multimodal Document Understanding
Renshan Zhang
Yibo Lyu
Rui Shao
Gongwei Chen
Weili Guan
Liqiang Nie
22
1
0
19 Jul 2024
Isomorphic Pruning for Vision Models
Isomorphic Pruning for Vision Models
Gongfan Fang
Xinyin Ma
Michael Bi Mi
Xinchao Wang
VLM
ViT
26
6
0
05 Jul 2024
LOOK-M: Look-Once Optimization in KV Cache for Efficient Multimodal
  Long-Context Inference
LOOK-M: Look-Once Optimization in KV Cache for Efficient Multimodal Long-Context Inference
Zhongwei Wan
Ziang Wu
Che Liu
Jinfa Huang
Zhihong Zhu
Peng Jin
Longyue Wang
Li Yuan
VLM
28
28
0
26 Jun 2024
ViT-1.58b: Mobile Vision Transformers in the 1-bit Era
ViT-1.58b: Mobile Vision Transformers in the 1-bit Era
Zhengqing Yuan
Rong-Er Zhou
Hongyi Wang
Lifang He
Yanfang Ye
Lichao Sun
MQ
12
8
0
26 Jun 2024
Accelerating Transformers with Spectrum-Preserving Token Merging
Accelerating Transformers with Spectrum-Preserving Token Merging
Hoai-Chau Tran
D. M. Nguyen
Duy M. Nguyen
Trung Thanh Nguyen
Ngan Le
Pengtao Xie
Daniel Sonntag
James Y. Zou
Binh T. Nguyen
Mathias Niepert
32
8
0
25 May 2024
The Need for Speed: Pruning Transformers with One Recipe
The Need for Speed: Pruning Transformers with One Recipe
Samir Khaki
Konstantinos N. Plataniotis
24
9
0
26 Mar 2024
Once for Both: Single Stage of Importance and Sparsity Search for Vision
  Transformer Compression
Once for Both: Single Stage of Importance and Sparsity Search for Vision Transformer Compression
Hancheng Ye
Chong Yu
Peng Ye
Renqiu Xia
Yansong Tang
Jiwen Lu
Tao Chen
Bo-Wen Zhang
29
3
0
23 Mar 2024
SHViT: Single-Head Vision Transformer with Memory Efficient Macro Design
SHViT: Single-Head Vision Transformer with Memory Efficient Macro Design
Seokju Yun
Youngmin Ro
ViT
19
29
0
29 Jan 2024
Token Fusion: Bridging the Gap between Token Pruning and Token Merging
Token Fusion: Bridging the Gap between Token Pruning and Token Merging
Minchul Kim
Shangqian Gao
Yen-Chang Hsu
Yilin Shen
Hongxia Jin
10
29
0
02 Dec 2023
Exploiting Activation Sparsity with Dense to Dynamic-k
  Mixture-of-Experts Conversion
Exploiting Activation Sparsity with Dense to Dynamic-k Mixture-of-Experts Conversion
Filip Szatkowski
Eric Elmoznino
Younesse Kaddar
Simone Scardapane
MoE
17
5
0
06 Oct 2023
Which Tokens to Use? Investigating Token Reduction in Vision
  Transformers
Which Tokens to Use? Investigating Token Reduction in Vision Transformers
Joakim Bruslund Haurum
Sergio Escalera
Graham W. Taylor
T. Moeslund
ViT
27
33
0
09 Aug 2023
Do We Really Need a Large Number of Visual Prompts?
Do We Really Need a Large Number of Visual Prompts?
Youngeun Kim
Yuhang Li
Abhishek Moitra
Ruokai Yin
Priyadarshini Panda
VLM
VPVLM
26
5
0
26 May 2023
DepGraph: Towards Any Structural Pruning
DepGraph: Towards Any Structural Pruning
Gongfan Fang
Xinyin Ma
Mingli Song
Michael Bi Mi
Xinchao Wang
GNN
79
245
0
30 Jan 2023
Token Merging: Your ViT But Faster
Token Merging: Your ViT But Faster
Daniel Bolya
Cheng-Yang Fu
Xiaoliang Dai
Peizhao Zhang
Christoph Feichtenhofer
Judy Hoffman
MoMe
14
415
0
17 Oct 2022
CAP: Correlation-Aware Pruning for Highly-Accurate Sparse Vision Models
CAP: Correlation-Aware Pruning for Highly-Accurate Sparse Vision Models
Denis Kuznedelev
Eldar Kurtic
Elias Frantar
Dan Alistarh
VLM
ViT
6
11
0
14 Oct 2022
Transformer in Transformer
Transformer in Transformer
Kai Han
An Xiao
Enhua Wu
Jianyuan Guo
Chunjing Xu
Yunhe Wang
ViT
282
1,490
0
27 Feb 2021
Pyramid Vision Transformer: A Versatile Backbone for Dense Prediction
  without Convolutions
Pyramid Vision Transformer: A Versatile Backbone for Dense Prediction without Convolutions
Wenhai Wang
Enze Xie
Xiang Li
Deng-Ping Fan
Kaitao Song
Ding Liang
Tong Lu
Ping Luo
Ling Shao
ViT
263
3,538
0
24 Feb 2021
Trear: Transformer-based RGB-D Egocentric Action Recognition
Trear: Transformer-based RGB-D Egocentric Action Recognition
Xiangyu Li
Yonghong Hou
Pichao Wang
Zhimin Gao
Mingliang Xu
Wanqing Li
ViT
168
88
0
05 Jan 2021
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image
  Segmentation
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
Vijay Badrinarayanan
Alex Kendall
R. Cipolla
SSeg
420
15,438
0
02 Nov 2015
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