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. 2505.17367
  4. Cited By
EVM-Fusion: An Explainable Vision Mamba Architecture with Neural Algorithmic Fusion

EVM-Fusion: An Explainable Vision Mamba Architecture with Neural Algorithmic Fusion

23 May 2025
Zichuan Yang
ArXivPDFHTML

Papers citing "EVM-Fusion: An Explainable Vision Mamba Architecture with Neural Algorithmic Fusion"

21 / 21 papers shown
Title
VMamba: Visual State Space Model
VMamba: Visual State Space Model
Yue Liu
Yunjie Tian
Yuzhong Zhao
Hongtian Yu
Lingxi Xie
Yaowei Wang
Qixiang Ye
Jianbin Jiao
Yunfan Liu
Mamba
208
666
0
31 Dec 2024
Vision Mamba: Efficient Visual Representation Learning with
  Bidirectional State Space Model
Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model
Lianghui Zhu
Bencheng Liao
Qian Zhang
Xinlong Wang
Wenyu Liu
Xinggang Wang
Mamba
68
753
0
17 Jan 2024
Mamba: Linear-Time Sequence Modeling with Selective State Spaces
Mamba: Linear-Time Sequence Modeling with Selective State Spaces
Albert Gu
Tri Dao
Mamba
75
2,552
0
01 Dec 2023
LViT: Language meets Vision Transformer in Medical Image Segmentation
LViT: Language meets Vision Transformer in Medical Image Segmentation
Zihan Li
Yunxiang Li
Qingde Li
Puyang Wang
Dazhou Guo
Le Lu
D. Jin
You Zhang
Qingqi Hong
VLM
MedIm
81
136
0
29 Jun 2022
A ConvNet for the 2020s
A ConvNet for the 2020s
Zhuang Liu
Hanzi Mao
Chaozheng Wu
Christoph Feichtenhofer
Trevor Darrell
Saining Xie
ViT
67
5,102
0
10 Jan 2022
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows
Ze Liu
Yutong Lin
Yue Cao
Han Hu
Yixuan Wei
Zheng Zhang
Stephen Lin
B. Guo
ViT
324
21,175
0
25 Mar 2021
An Image is Worth 16x16 Words: Transformers for Image Recognition at
  Scale
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
Alexey Dosovitskiy
Lucas Beyer
Alexander Kolesnikov
Dirk Weissenborn
Xiaohua Zhai
...
Matthias Minderer
G. Heigold
Sylvain Gelly
Jakob Uszkoreit
N. Houlsby
ViT
376
40,217
0
22 Oct 2020
A Survey of Convolutional Neural Networks: Analysis, Applications, and
  Prospects
A Survey of Convolutional Neural Networks: Analysis, Applications, and Prospects
Zewen Li
Wenjie Yang
Shouheng Peng
Fan Liu
HAI
3DV
83
2,656
0
01 Apr 2020
Squeeze-and-Excitation Networks
Squeeze-and-Excitation Networks
Jie Hu
Li Shen
Samuel Albanie
Gang Sun
Enhua Wu
341
26,241
0
05 Sep 2017
Dual Path Networks
Dual Path Networks
Yunpeng Chen
Jianan Li
Huaxin Xiao
Xiaojie Jin
Shuicheng Yan
Jiashi Feng
81
828
0
06 Jul 2017
Attention Is All You Need
Attention Is All You Need
Ashish Vaswani
Noam M. Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan Gomez
Lukasz Kaiser
Illia Polosukhin
3DV
451
129,831
0
12 Jun 2017
A Unified Approach to Interpreting Model Predictions
A Unified Approach to Interpreting Model Predictions
Scott M. Lundberg
Su-In Lee
FAtt
546
21,613
0
22 May 2017
Residual and Plain Convolutional Neural Networks for 3D Brain MRI
  Classification
Residual and Plain Convolutional Neural Networks for 3D Brain MRI Classification
Sergey Korolev
Amir Safiullin
Mikhail Belyaev
Yulia Dodonova
MedIm
26
367
0
23 Jan 2017
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based
  Localization
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization
Ramprasaath R. Selvaraju
Michael Cogswell
Abhishek Das
Ramakrishna Vedantam
Devi Parikh
Dhruv Batra
FAtt
216
19,796
0
07 Oct 2016
Densely Connected Convolutional Networks
Densely Connected Convolutional Networks
Gao Huang
Zhuang Liu
Laurens van der Maaten
Kilian Q. Weinberger
PINN
3DV
631
36,599
0
25 Aug 2016
"Why Should I Trust You?": Explaining the Predictions of Any Classifier
"Why Should I Trust You?": Explaining the Predictions of Any Classifier
Marco Tulio Ribeiro
Sameer Singh
Carlos Guestrin
FAtt
FaML
587
16,828
0
16 Feb 2016
Learning Deep Features for Discriminative Localization
Learning Deep Features for Discriminative Localization
Bolei Zhou
A. Khosla
Àgata Lapedriza
A. Oliva
Antonio Torralba
SSL
SSeg
FAtt
170
9,280
0
14 Dec 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg
3DV
1.2K
76,547
0
18 May 2015
Anatomy-specific classification of medical images using deep
  convolutional nets
Anatomy-specific classification of medical images using deep convolutional nets
H. Roth
Christopher T. Lee
Hoo-Chang Shin
Ari Seff
Lauren Kim
Jianhua Yao
Le Lu
Ronald M. Summers
28
180
0
15 Apr 2015
Very Deep Convolutional Networks for Large-Scale Image Recognition
Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan
Andrew Zisserman
FAtt
MDE
943
99,991
0
04 Sep 2014
Learning Phrase Representations using RNN Encoder-Decoder for
  Statistical Machine Translation
Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation
Kyunghyun Cho
B. V. Merrienboer
Çağlar Gülçehre
Dzmitry Bahdanau
Fethi Bougares
Holger Schwenk
Yoshua Bengio
AIMat
647
23,235
0
03 Jun 2014
1