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2110.00476
Cited By
ResNet strikes back: An improved training procedure in timm
1 October 2021
Ross Wightman
Hugo Touvron
Hervé Jégou
AI4TS
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Papers citing
"ResNet strikes back: An improved training procedure in timm"
50 / 306 papers shown
Title
LAION-C: An Out-of-Distribution Benchmark for Web-Scale Vision Models
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Inherently Faithful Attention Maps for Vision Transformers
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Dino Ienco
Diego Marcos
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An Adaptive Method Stabilizing Activations for Enhanced Generalization
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Jaewoo Lee
Hyunsuk Ko
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Johanna Vielhaben
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DiffM
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27 May 2025
SpikeVideoFormer: An Efficient Spike-Driven Video Transformer with Hamming Attention and
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Shihao Zou
Qingfeng Li
Wei Ji
Jingjing Li
Yongkui Yang
Guoqi Li
Chao Dong
184
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15 May 2025
Batch Augmentation with Unimodal Fine-tuning for Multimodal Learning
H. M. D. Kabir
S. Mondal
Mohammad Ali Moni
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10 May 2025
Frozen Layers: Memory-efficient Many-fidelity Hyperparameter Optimization
Timur Carstensen
Neeratyoy Mallik
Frank Hutter
Martin Rapp
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84
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14 Apr 2025
COUNTS: Benchmarking Object Detectors and Multimodal Large Language Models under Distribution Shifts
Jiansheng Li
Xingxuan Zhang
Hao Zou
Yige Guo
Renzhe Xu
Yilong Liu
Chuzhao Zhu
Yue He
Peng Cui
VLM
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14 Apr 2025
Impact of Language Guidance: A Reproducibility Study
Cherish Puniani
Advika Sinha
Shree Singhi
Aayan Yadav
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206
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10 Apr 2025
Benchmarking Image Embeddings for E-Commerce: Evaluating Off-the Shelf Foundation Models, Fine-Tuning Strategies and Practical Trade-offs
Urszula Czerwinska
Cenk Bircanoglu
Jeremy Chamoux
66
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10 Apr 2025
Teaching pathology foundation models to accurately predict gene expression with parameter efficient knowledge transfer
Shi Pan
Jianan Chen
Maria Secrier
53
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PEEL the Layers and Find Yourself: Revisiting Inference-time Data Leakage for Residual Neural Networks
Huzaifa Arif
K. Murugesan
Payel Das
Alex Gittens
Pin-Yu Chen
AAML
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Spectral-Adaptive Modulation Networks for Visual Perception
Guhnoo Yun
J. Yoo
Kijung Kim
Jeongho Lee
Paul Hongsuck Seo
Dong Hwan Kim
124
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31 Mar 2025
Optimizing Breast Cancer Detection in Mammograms: A Comprehensive Study of Transfer Learning, Resolution Reduction, and Multi-View Classification
D. Petrini
Hae Yong Kim
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PNN: A Novel Progressive Neural Network for Fault Classification in Rotating Machinery under Small Dataset Constraint
Praveen Chopra
Himanshu Kumar
Sandeep Yadav
AI4CE
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24 Mar 2025
Beyond Accuracy: What Matters in Designing Well-Behaved Models?
Robin Hesse
Doğukan Bağcı
Bernt Schiele
Simone Schaub-Meyer
Stefan Roth
VLM
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Striving for Simplicity: Simple Yet Effective Prior-Aware Pseudo-Labeling for Semi-Supervised Ultrasound Image Segmentation
Yaxiong Chen
Yujie Wang
Zixuan Zheng
Jingliang Hu
Yilei Shi
Shengwu Xiong
Xiao Xiang Zhu
Lichao Mou
148
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Mixtraining: A Better Trade-Off Between Compute and Performance
Zexin Li
Jiancheng Zhang
Yufei Li
Yinglun Zhu
Cong Liu
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26 Feb 2025
Scaling Laws in Patchification: An Image Is Worth 50,176 Tokens And More
Feng Wang
Yaodong Yu
Guoyizhe Wei
Wei Shao
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149
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A margin-based replacement for cross-entropy loss
Michael W. Spratling
Heiko H. Schütt
158
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Improving Quantization-aware Training of Low-Precision Network via Block Replacement on Full-Precision Counterpart
Chengting Yu
Shu Yang
Fengzhao Zhang
Hanzhi Ma
Aili Wang
Er-ping Li
MQ
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S2S2: Semantic Stacking for Robust Semantic Segmentation in Medical Imaging
Yimu Pan
Sitao Zhang
Alison D. Gernand
Jeffery A. Goldstein
J. Z. Wang
135
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A Performance Increment Strategy for Semantic Segmentation of Low-Resolution Images from Damaged Roads
Rafael S. Toledo
Cristiano S. Oliveira
Vitor H. T. Oliveira
Eric A. Antonelo
Aldo von Wangenheim
105
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SigCLR: Sigmoid Contrastive Learning of Visual Representations
Ömer Veysel Çağatan
59
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22 Oct 2024
How Do Training Methods Influence the Utilization of Vision Models?
Paul Gavrikov
Shashank Agnihotri
Margret Keuper
J. Keuper
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big.LITTLE Vision Transformer for Efficient Visual Recognition
He Guo
Yulong Wang
Zixuan Ye
Jifeng Dai
Yuwen Xiong
ViT
92
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14 Oct 2024
Towards virtual painting recolouring using Vision Transformer on X-Ray Fluorescence datacubes
A. Bombini
Fernando García-Avello Bofías
Francesca Giambi
Chiara Ruberto
63
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11 Oct 2024
Data Taggants: Dataset Ownership Verification via Harmless Targeted Data Poisoning
Wassim Bouaziz
El-Mahdi El-Mhamdi
Nicolas Usunier
TDI
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79
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09 Oct 2024
Unveiling the Backbone-Optimizer Coupling Bias in Visual Representation Learning
Siyuan Li
Juanxi Tian
Zedong Wang
Luyuan Zhang
Zicheng Liu
Weiyang Jin
Yang Liu
Baigui Sun
Stan Z. Li
95
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08 Oct 2024
SELECT: A Large-Scale Benchmark of Data Curation Strategies for Image Classification
Benjamin Feuer
Jiawei Xu
Niv Cohen
Patrick Yubeaton
Govind Mittal
Chinmay Hegde
60
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Classification-Denoising Networks
Louis Thiry
Florentin Guth
87
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AirLetters: An Open Video Dataset of Characters Drawn in the Air
Rishit Dagli
Guillaume Berger
Joanna Materzynska
Ingo Bax
Roland Memisevic
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Addressing Data Heterogeneity in Federated Learning with Adaptive Normalization-Free Feature Recalibration
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Sergio Naval Marimont
Jonathan Passerat-Palmbach
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60
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WiGNet: Windowed Vision Graph Neural Network
Gabriele Spadaro
Marco Grangetto
Attilio Fiandrotti
Enzo Tartaglione
Jhony H. Giraldo
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CBAM-SwinT-BL: Small Rail Surface Defect Detection Method Based on Swin Transformer with Block Level CBAM Enhancement
Jiayi Zhao
Alison Wun-lam Yeung
Ali Muhammad
Songjiang Lai
Vincent To-Yee NG
48
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30 Sep 2024
Towards Diverse Device Heterogeneous Federated Learning via Task Arithmetic Knowledge Integration
Mahdi Morafah
Vyacheslav Kungurtsev
Hojin Chang
Chong Chen
Bill Lin
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62
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Frequency-Guided Masking for Enhanced Vision Self-Supervised Learning
Amin Karimi Monsefi
Mengxi Zhou
Nastaran Karimi Monsefi
Ser-Nam Lim
Wei-Lun Chao
R. Ramnath
132
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FreeAugment: Data Augmentation Search Across All Degrees of Freedom
Tom Bekor
Niv Nayman
Lihi Zelnik-Manor
ViT
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07 Sep 2024
Depth-Wise Convolutions in Vision Transformers for Efficient Training on Small Datasets
Tianxiao Zhang
Wenju Xu
Bo Luo
Guanghui Wang
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Embedding-Free Transformer with Inference Spatial Reduction for Efficient Semantic Segmentation
Hyunwoo Yu
Yubin Cho
Beoungwoo Kang
Seunghun Moon
Kyeongbo Kong
Suk-Ju Kang
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Lite-SAM Is Actually What You Need for Segment Everything
Jianhai Fu
Yuanjie Yu
Ningchuan Li
Yi Zhang
Qichao Chen
Jianping Xiong
Jun Yin
Zhiyu Xiang
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Trainable Highly-expressive Activation Functions
Irit Chelly
Shahaf E. Finder
Shira Ifergane
Oren Freifeld
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MambaVision: A Hybrid Mamba-Transformer Vision Backbone
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Jan Kautz
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Understanding Visual Feature Reliance through the Lens of Complexity
Thomas Fel
Louis Bethune
Andrew Kyle Lampinen
Thomas Serre
Katherine Hermann
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LayerMerge: Neural Network Depth Compression through Layer Pruning and Merging
Jinuk Kim
Marwa El Halabi
Mingi Ji
Hyun Oh Song
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Data-Centric Label Smoothing for Explainable Glaucoma Screening from Eye Fundus Images
Adrian Galdran
M. A. G. Ballester
123
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PETRA: Parallel End-to-end Training with Reversible Architectures
Stéphane Rivaud
Louis Fournier
Thomas Pumir
Eugene Belilovsky
Michael Eickenberg
Edouard Oyallon
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Robust Classification by Coupling Data Mollification with Label Smoothing
Markus Heinonen
Ba-Hien Tran
Michael Kampffmeyer
Maurizio Filippone
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AdaFisher: Adaptive Second Order Optimization via Fisher Information
Damien Martins Gomes
Yanlei Zhang
Eugene Belilovsky
Guy Wolf
Mahdi S. Hosseini
ODL
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26 May 2024
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