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. 2201.09792
  4. Cited By
Patches Are All You Need?

Patches Are All You Need?

24 January 2022
Asher Trockman
J. Zico Kolter
    ViT
ArXivPDFHTML

Papers citing "Patches Are All You Need?"

50 / 55 papers shown
Title
Always Skip Attention
Always Skip Attention
Yiping Ji
Hemanth Saratchandran
Peyman Moghaddam
Simon Lucey
136
0
0
04 May 2025
reBEN: Refined BigEarthNet Dataset for Remote Sensing Image Analysis
reBEN: Refined BigEarthNet Dataset for Remote Sensing Image Analysis
Kai Norman Clasen
L. Hackel
Tom Burgert
Gencer Sumbul
Begum Demir
Volker Markl
57
11
0
04 Jul 2024
Embedded event based object detection with spiking neural network
Embedded event based object detection with spiking neural network
Jonathan Courtois
Pierre-Emmanuel Novac
E. Lemaire
Alain Pegatoquet
Benoit Miramond
27
2
0
25 Jun 2024
Transformer-based Federated Learning for Multi-Label Remote Sensing
  Image Classification
Transformer-based Federated Learning for Multi-Label Remote Sensing Image Classification
Baris Büyüktas
Kenneth Weitzel
Sebastian Völkers
Felix Zailskas
Begum Demir
44
5
0
24 May 2024
When Medical Imaging Met Self-Attention: A Love Story That Didn't Quite
  Work Out
When Medical Imaging Met Self-Attention: A Love Story That Didn't Quite Work Out
Tristan Piater
Niklas Penzel
Gideon Stein
Joachim Denzler
37
2
0
18 Apr 2024
Variational Stochastic Gradient Descent for Deep Neural Networks
Variational Stochastic Gradient Descent for Deep Neural Networks
Haotian Chen
Anna Kuzina
Babak Esmaeili
Jakub M. Tomczak
41
0
0
09 Apr 2024
LiteNeXt: A Novel Lightweight ConvMixer-based Model with Self-embedding Representation Parallel for Medical Image Segmentation
LiteNeXt: A Novel Lightweight ConvMixer-based Model with Self-embedding Representation Parallel for Medical Image Segmentation
Ngoc-Du Tran
Thi-Thao Tran
Quang-Huy Nguyen
Manh-Hung Vu
Van-Truong Pham
MedIm
ViT
33
1
0
04 Apr 2024
SpiralMLP: A Lightweight Vision MLP Architecture
SpiralMLP: A Lightweight Vision MLP Architecture
Haojie Mu
Burhan Ul Tayyab
Nicholas Chua
43
0
0
31 Mar 2024
Efficient Modulation for Vision Networks
Efficient Modulation for Vision Networks
Xu Ma
Xiyang Dai
Jianwei Yang
Bin Xiao
Yinpeng Chen
Yun Fu
Lu Yuan
40
17
0
29 Mar 2024
On normalization-equivariance properties of supervised and unsupervised
  denoising methods: a survey
On normalization-equivariance properties of supervised and unsupervised denoising methods: a survey
Sébastien Herbreteau
Charles Kervrann
OOD
35
0
0
23 Feb 2024
Unveiling the Unseen: Identifiable Clusters in Trained Depthwise
  Convolutional Kernels
Unveiling the Unseen: Identifiable Clusters in Trained Depthwise Convolutional Kernels
Z. Babaiee
Peyman M. Kiasari
Daniela Rus
Radu Grosu
33
1
0
25 Jan 2024
SVQ: Sparse Vector Quantization for Spatiotemporal Forecasting
SVQ: Sparse Vector Quantization for Spatiotemporal Forecasting
Chao Chen
Tian Zhou
Yanjun Zhao
Hui Liu
Liang Sun
Rong Jin
37
0
0
06 Dec 2023
PubDef: Defending Against Transfer Attacks From Public Models
PubDef: Defending Against Transfer Attacks From Public Models
Chawin Sitawarin
Jaewon Chang
David Huang
Wesson Altoyan
David A. Wagner
AAML
31
5
0
26 Oct 2023
SSG2: A new modelling paradigm for semantic segmentation
SSG2: A new modelling paradigm for semantic segmentation
F. Diakogiannis
S. Furby
P. Caccetta
Xiaoliang Wu
Rodrigo Ibata
O. Hlinka
John Taylor
VLM
25
0
0
12 Oct 2023
Elephant Neural Networks: Born to Be a Continual Learner
Elephant Neural Networks: Born to Be a Continual Learner
Qingfeng Lan
A. R. Mahmood
CLL
38
9
0
02 Oct 2023
Rethink DARTS Search Space and Renovate a New Benchmark
Rethink DARTS Search Space and Renovate a New Benchmark
Jiuling Zhang
Zhiming Ding
33
1
0
12 Jun 2023
Deep neural networks architectures from the perspective of manifold
  learning
Deep neural networks architectures from the perspective of manifold learning
German Magai
AAML
AI4CE
16
6
0
06 Jun 2023
Multi-Level Global Context Cross Consistency Model for Semi-Supervised
  Ultrasound Image Segmentation with Diffusion Model
Multi-Level Global Context Cross Consistency Model for Semi-Supervised Ultrasound Image Segmentation with Diffusion Model
Fenghe Tang
Jianrui Ding
Lingtao Wang
Min Xian
C. Ning
DiffM
MedIm
26
12
0
16 May 2023
FastViT: A Fast Hybrid Vision Transformer using Structural
  Reparameterization
FastViT: A Fast Hybrid Vision Transformer using Structural Reparameterization
Pavan Kumar Anasosalu Vasu
J. Gabriel
Jeff J. Zhu
Oncel Tuzel
Anurag Ranjan
ViT
34
151
0
24 Mar 2023
An Extended Study of Human-like Behavior under Adversarial Training
An Extended Study of Human-like Behavior under Adversarial Training
Paul Gavrikov
J. Keuper
M. Keuper
AAML
26
9
0
22 Mar 2023
Rethinking Confidence Calibration for Failure Prediction
Rethinking Confidence Calibration for Failure Prediction
Fei Zhu
Zhen Cheng
Xu-Yao Zhang
Cheng-Lin Liu
UQCV
14
39
0
06 Mar 2023
Simple Hardware-Efficient Long Convolutions for Sequence Modeling
Simple Hardware-Efficient Long Convolutions for Sequence Modeling
Daniel Y. Fu
Elliot L. Epstein
Eric N. D. Nguyen
A. Thomas
Michael Zhang
Tri Dao
Atri Rudra
Christopher Ré
16
51
0
13 Feb 2023
CMU-Net: A Strong ConvMixer-based Medical Ultrasound Image Segmentation
  Network
CMU-Net: A Strong ConvMixer-based Medical Ultrasound Image Segmentation Network
Fenghe Tang
Lingtao Wang
C. Ning
Min Xian
Jianrui Ding
17
60
0
24 Oct 2022
How Much Data Are Augmentations Worth? An Investigation into Scaling
  Laws, Invariance, and Implicit Regularization
How Much Data Are Augmentations Worth? An Investigation into Scaling Laws, Invariance, and Implicit Regularization
Jonas Geiping
Micah Goldblum
Gowthami Somepalli
Ravid Shwartz-Ziv
Tom Goldstein
A. Wilson
24
35
0
12 Oct 2022
The Lie Derivative for Measuring Learned Equivariance
The Lie Derivative for Measuring Learned Equivariance
Nate Gruver
Marc Finzi
Micah Goldblum
A. Wilson
16
34
0
06 Oct 2022
On the interplay of adversarial robustness and architecture components:
  patches, convolution and attention
On the interplay of adversarial robustness and architecture components: patches, convolution and attention
Francesco Croce
Matthias Hein
37
6
0
14 Sep 2022
A patch-based architecture for multi-label classification from single
  label annotations
A patch-based architecture for multi-label classification from single label annotations
Warren Jouanneau
Aurélie Bugeau
Marc Palyart
Nicolas Papadakis
Laurent Vézard
28
0
0
14 Sep 2022
Visual Transformer for Soil Classification
Visual Transformer for Soil Classification
Aaryan Jagetia
Umang Goenka
Priyadarshini Kumari
Mary Samuel
15
5
0
07 Sep 2022
PECAN: A Product-Quantized Content Addressable Memory Network
PECAN: A Product-Quantized Content Addressable Memory Network
Jie Ran
R. Lin
Jason Chun Lok Li
Jiajun Zhou
Ngai Wong
MQ
46
7
0
13 Aug 2022
Almost-Orthogonal Layers for Efficient General-Purpose Lipschitz
  Networks
Almost-Orthogonal Layers for Efficient General-Purpose Lipschitz Networks
Bernd Prach
Christoph H. Lampert
32
35
0
05 Aug 2022
Privacy-Preserving Image Classification Using ConvMixer with Adaptive
  Permutation Matrix
Privacy-Preserving Image Classification Using ConvMixer with Adaptive Permutation Matrix
Zheng Qi
AprilPyone Maungmaung
Hitoshi Kiya
PICV
17
4
0
04 Aug 2022
YOLO-FaceV2: A Scale and Occlusion Aware Face Detector
YOLO-FaceV2: A Scale and Occlusion Aware Face Detector
Ziping Yu
Hongbo Huang
Weijun Chen
Yongxin Su
Yahui Liu
Xiu-Ying Wang
ObjD
CVBM
15
159
0
03 Aug 2022
An Encryption Method of ConvMixer Models without Performance Degradation
An Encryption Method of ConvMixer Models without Performance Degradation
Ryota Iijima
Hitoshi Kiya
10
1
0
25 Jul 2022
Image and Model Transformation with Secret Key for Vision Transformer
Image and Model Transformation with Secret Key for Vision Transformer
Hitoshi Kiya
Ryota Iijima
Maungmaung Aprilpyone
Yuma Kinoshita
ViT
31
21
0
12 Jul 2022
VidConv: A modernized 2D ConvNet for Efficient Video Recognition
VidConv: A modernized 2D ConvNet for Efficient Video Recognition
Chuong H. Nguyen
Su Huynh
Vinh Nguyen
Ngoc-Khanh Nguyen
ViT
22
3
0
08 Jul 2022
Entropy-Based Feature Extraction For Real-Time Semantic Segmentation
Entropy-Based Feature Extraction For Real-Time Semantic Segmentation
L. Abrahamyan
Nikos Deligiannis
10
0
0
07 Jul 2022
EfficientFormer: Vision Transformers at MobileNet Speed
EfficientFormer: Vision Transformers at MobileNet Speed
Yanyu Li
Geng Yuan
Yang Wen
Eric Hu
Georgios Evangelidis
Sergey Tulyakov
Yanzhi Wang
Jian Ren
ViT
16
346
0
02 Jun 2022
WaveMix: A Resource-efficient Neural Network for Image Analysis
WaveMix: A Resource-efficient Neural Network for Image Analysis
Pranav Jeevan
Kavitha Viswanathan
S. AnanduA
A. Sethi
13
20
0
28 May 2022
Smooth-Reduce: Leveraging Patches for Improved Certified Robustness
Smooth-Reduce: Leveraging Patches for Improved Certified Robustness
Ameya Joshi
Minh Pham
Minsu Cho
Leonid Boytsov
Filipe Condessa
J. Zico Kolter
C. Hegde
UQCV
AAML
10
2
0
12 May 2022
Communication-Efficient Adaptive Federated Learning
Communication-Efficient Adaptive Federated Learning
Yujia Wang
Lu Lin
Jinghui Chen
FedML
19
69
0
05 May 2022
DaViT: Dual Attention Vision Transformers
DaViT: Dual Attention Vision Transformers
Mingyu Ding
Bin Xiao
Noel Codella
Ping Luo
Jingdong Wang
Lu Yuan
ViT
30
240
0
07 Apr 2022
Energy-Latency Attacks via Sponge Poisoning
Energy-Latency Attacks via Sponge Poisoning
Antonio Emanuele Cinà
Ambra Demontis
Battista Biggio
Fabio Roli
Marcello Pelillo
SILM
39
29
0
14 Mar 2022
Scaling Up Your Kernels to 31x31: Revisiting Large Kernel Design in CNNs
Scaling Up Your Kernels to 31x31: Revisiting Large Kernel Design in CNNs
Xiaohan Ding
X. Zhang
Yi Zhou
Jungong Han
Guiguang Ding
Jian-jun Sun
VLM
47
528
0
13 Mar 2022
Adaptive Discriminative Regularization for Visual Classification
Adaptive Discriminative Regularization for Visual Classification
Qingsong Zhao
Yi Wang
Shuguang Dou
Chen Gong
Yin Wang
Cairong Zhao
16
0
0
02 Mar 2022
A ConvNet for the 2020s
A ConvNet for the 2020s
Zhuang Liu
Hanzi Mao
Chaozheng Wu
Christoph Feichtenhofer
Trevor Darrell
Saining Xie
ViT
40
4,967
0
10 Jan 2022
Improving Surrogate Gradient Learning in Spiking Neural Networks via
  Regularization and Normalization
Improving Surrogate Gradient Learning in Spiking Neural Networks via Regularization and Normalization
Nandan Meda
14
0
0
13 Dec 2021
SWAT: Spatial Structure Within and Among Tokens
SWAT: Spatial Structure Within and Among Tokens
Kumara Kahatapitiya
Michael S. Ryoo
23
6
0
26 Nov 2021
PointMixer: MLP-Mixer for Point Cloud Understanding
PointMixer: MLP-Mixer for Point Cloud Understanding
Jaesung Choe
Chunghyun Park
François Rameau
Jaesik Park
In So Kweon
3DPC
34
98
0
22 Nov 2021
ResNet strikes back: An improved training procedure in timm
ResNet strikes back: An improved training procedure in timm
Ross Wightman
Hugo Touvron
Hervé Jégou
AI4TS
209
487
0
01 Oct 2021
CMT: Convolutional Neural Networks Meet Vision Transformers
CMT: Convolutional Neural Networks Meet Vision Transformers
Jianyuan Guo
Kai Han
Han Wu
Yehui Tang
Chunjing Xu
Yunhe Wang
Chang Xu
ViT
349
500
0
13 Jul 2021
12
Next