Research

Papers for “imagenet”

Find papers, implementations, and the benchmark evidence behind state-of-the-art AI systems.

Title	Authors	Year	Source
Deep Gaze I: Boosting Saliency Prediction with Feature Maps Trained on ImageNet	Matthias Kümmerer, Lucas Theis, Matthias Bethge	2014	arxiv 1411.1045
Unlocking ImageNet's Multi-Object Nature: Automated Large-Scale Multilabel Annotation	Junyu Chen, Md Yousuf Harun, Christopher Kanan	2026	arxiv 2603.05729
From MNIST to ImageNet: Understanding the Scalability Boundaries of Differentiable Logic Gate Networks	Sven Brändle, Till Aczel, Andreas Plesner	2025	arxiv 2509.25933
Towards Adapting ImageNet to Reality: Scalable Domain Adaptation with Implicit Low-rank Transformations	Erik Rodner, Judy Hoffman, Jeff Donahue	2013	arxiv 1308.4200
Fine-grained Categorization -- Short Summary of our Entry for the ImageNet Challenge 2012	Christoph Göring, Alexander Freytag, Erik Rodner	2013	arxiv 1310.4759
ImageNet-trained deep neural network exhibits illusion-like response to the Scintillating Grid	Eric D. Sun, Ron Dekel	2019	arxiv 1907.09019
Robustness properties of Facebook's ResNeXt WSL models	A. Emin Orhan	2019	arxiv 1907.07640
DiffusionBench: On Holistic Evaluation of Diffusion Transformers	Xingjian Leng, Jaskirat Singh, Zhanhao Liang	2026	arxiv 2606.24888
Adversarial Examples Improve Image Recognition	Cihang Xie, Mingxing Tan, Boqing Gong	2019	arxiv 1911.09665
Reinforce Data, Multiply Impact: Improved Model Accuracy and Robustness with Dataset Reinforcement	Fartash Faghri, Hadi Pouransari, Sachin Mehta	2023	arxiv 2303.08983
Natural Adversarial Examples	Dan Hendrycks, Kevin Zhao, Steven Basart	2019	arxiv 1907.07174
Shape-Texture Debiased Neural Network Training	Yingwei Li, Qihang Yu, Mingxing Tan	2020	arxiv 2010.05981
A Closer Look at In-Distribution vs. Out-of-Distribution Accuracy for Open-Set Test-time Adaptation	Zefeng Li, Evan Shelhamer	2026	arxiv 2606.01973
Diffusion Models Beat GANs on Image Synthesis	Prafulla Dhariwal, Alex Nichol	2021	arxiv 2105.05233
Can we Adopt Self-supervised Pretraining for Chest X-Rays?	Arsh Verma, Makarand Tapaswi	2022	arxiv 2211.12931
A Systematic Benchmarking Analysis of Transfer Learning for Medical Image Analysis	Mohammad Reza Hosseinzadeh Taher, Fatemeh Haghighi, Ruibin Feng	2021	arxiv 2108.05930
Rethinking Natural Adversarial Examples for Classification Models	Xiao Li, Jianmin Li, Ting Dai	2021	arxiv 2102.11731
Pyramid Adversarial Training Improves ViT Performance	Charles Herrmann, Kyle Sargent, Lu Jiang	2021	arxiv 2111.15121
Feature Extraction for Generative Medical Imaging Evaluation: New Evidence Against an Evolving Trend	McKell Woodland, Austin Castelo, Mais Al Taie	2023	arxiv 2311.13717
Fixing the train-test resolution discrepancy: FixEfficientNet	Hugo Touvron, Andrea Vedaldi, Matthijs Douze	2020	arxiv 2003.08237

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