ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2308.01045
  4. Cited By
Dynamic Token Pruning in Plain Vision Transformers for Semantic
  Segmentation

Dynamic Token Pruning in Plain Vision Transformers for Semantic Segmentation

2 August 2023
Quan Tang
Bowen Zhang
Jiajun Liu
Fagui Liu
Yifan Liu
    ViT
ArXivPDFHTML

Papers citing "Dynamic Token Pruning in Plain Vision Transformers for Semantic Segmentation"

21 / 21 papers shown
Title
Back to Fundamentals: Low-Level Visual Features Guided Progressive Token Pruning
Back to Fundamentals: Low-Level Visual Features Guided Progressive Token Pruning
Yuanbing Ouyang
Yizhuo Liang
Qingpeng Li
Xinfei Guo
Yiming Luo
Di Wu
Hao Wang
Yushan Pan
ViT
VLM
64
0
0
25 Apr 2025
LVLM_CSP: Accelerating Large Vision Language Models via Clustering, Scattering, and Pruning for Reasoning Segmentation
LVLM_CSP: Accelerating Large Vision Language Models via Clustering, Scattering, and Pruning for Reasoning Segmentation
Hanning Chen
Yang Ni
Wenjun Huang
Hyunwoo Oh
Yezi Liu
Tamoghno Das
Mohsen Imani
VLM
LRM
34
0
0
15 Apr 2025
DUDA: Distilled Unsupervised Domain Adaptation for Lightweight Semantic Segmentation
DUDA: Distilled Unsupervised Domain Adaptation for Lightweight Semantic Segmentation
Beomseok Kang
Niluthpol Chowdhury Mithun
Abhinav Rajvanshi
Han-Pang Chiu
S. Samarasekera
24
0
0
14 Apr 2025
When Less is Enough: Adaptive Token Reduction for Efficient Image Representation
When Less is Enough: Adaptive Token Reduction for Efficient Image Representation
Eduard Allakhverdov
Elizaveta Goncharova
Andrey Kuznetsov
42
0
0
20 Mar 2025
Exploring Token-Level Augmentation in Vision Transformer for Semi-Supervised Semantic Segmentation
Dengke Zhang
Quan Tang
Fagui Liu
C. L. Philip Chen
Haiqing Mei
ViT
50
0
0
04 Mar 2025
SegMAN: Omni-scale Context Modeling with State Space Models and Local Attention for Semantic Segmentation
SegMAN: Omni-scale Context Modeling with State Space Models and Local Attention for Semantic Segmentation
Yunxiang Fu
Meng Lou
Yizhou Yu
112
1
0
16 Dec 2024
AIM: Adaptive Inference of Multi-Modal LLMs via Token Merging and
  Pruning
AIM: Adaptive Inference of Multi-Modal LLMs via Token Merging and Pruning
Yiwu Zhong
Zhuoming Liu
Yin Li
Liwei Wang
82
2
0
04 Dec 2024
Redundant Queries in DETR-Based 3D Detection Methods: Unnecessary and
  Prunable
Redundant Queries in DETR-Based 3D Detection Methods: Unnecessary and Prunable
Lizhen Xu
Shanmin Pang
Wenzhao Qiu
Zehao Wu
Xiuxiu Bai
K. Mei
Jianru Xue
69
1
0
03 Dec 2024
Token Cropr: Faster ViTs for Quite a Few Tasks
Token Cropr: Faster ViTs for Quite a Few Tasks
Benjamin Bergner
C. Lippert
Aravindh Mahendran
ViT
VLM
66
0
0
01 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
1
0
15 Oct 2024
VLTP: Vision-Language Guided Token Pruning for Task-Oriented
  Segmentation
VLTP: Vision-Language Guided Token Pruning for Task-Oriented Segmentation
Hanning Chen
Yang Ni
Wenjun Huang
Yezi Liu
SungHeon Jeong
Fei Wen
Nathaniel Bastian
Hugo Latapie
Mohsen Imani
VLM
32
4
0
13 Sep 2024
Hierarchical Graph Interaction Transformer with Dynamic Token Clustering
  for Camouflaged Object Detection
Hierarchical Graph Interaction Transformer with Dynamic Token Clustering for Camouflaged Object Detection
Siyuan Yao
Hao Sun
Tian-Zhu Xiang
Xiao Wang
Xiaochun Cao
26
8
0
27 Aug 2024
Embedding-Free Transformer with Inference Spatial Reduction for
  Efficient Semantic Segmentation
Embedding-Free Transformer with Inference Spatial Reduction for Efficient Semantic Segmentation
Hyunwoo Yu
Yubin Cho
Beoungwoo Kang
Seunghun Moon
Kyeongbo Kong
Suk-Ju Kang
28
3
0
24 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
36
28
0
26 Jun 2024
ALGM: Adaptive Local-then-Global Token Merging for Efficient Semantic
  Segmentation with Plain Vision Transformers
ALGM: Adaptive Local-then-Global Token Merging for Efficient Semantic Segmentation with Plain Vision Transformers
Narges Norouzi
Svetlana Orlova
Daan de Geus
Gijs Dubbelman
ViT
FedML
46
3
0
14 Jun 2024
Automatic Channel Pruning for Multi-Head Attention
Automatic Channel Pruning for Multi-Head Attention
Eunho Lee
Youngbae Hwang
ViT
32
1
0
31 May 2024
SLAB: Efficient Transformers with Simplified Linear Attention and
  Progressive Re-parameterized Batch Normalization
SLAB: Efficient Transformers with Simplified Linear Attention and Progressive Re-parameterized Batch Normalization
Jialong Guo
Xinghao Chen
Yehui Tang
Yunhe Wang
ViT
47
9
0
19 May 2024
HCPM: Hierarchical Candidates Pruning for Efficient Detector-Free
  Matching
HCPM: Hierarchical Candidates Pruning for Efficient Detector-Free Matching
Ying Chen
Yong-Jin Liu
Kai Wu
Qiang Nie
Shang Xu
Huifang Ma
Bing Wang
Chengjie Wang
VLM
40
1
0
19 Mar 2024
Neural Slot Interpreters: Grounding Object Semantics in Emergent Slot Representations
Neural Slot Interpreters: Grounding Object Semantics in Emergent Slot Representations
Bhishma Dedhia
N. Jha
OCL
46
1
0
02 Feb 2024
Zero-TPrune: Zero-Shot Token Pruning through Leveraging of the Attention
  Graph in Pre-Trained Transformers
Zero-TPrune: Zero-Shot Token Pruning through Leveraging of the Attention Graph in Pre-Trained Transformers
Hongjie Wang
Bhishma Dedhia
N. Jha
ViT
VLM
30
26
0
27 May 2023
Class Based Thresholding in Early Exit Semantic Segmentation Networks
Class Based Thresholding in Early Exit Semantic Segmentation Networks
Alperen Görmez
Erdem Koyuncu
23
5
0
27 Oct 2022
1