Research

Papers for “imagenet”

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

Title	Authors	Year	Source
Automated Cleanup of the ImageNet Dataset by Model Consensus, Explainability and Confident Learning	Csaba Kertész	2021	arxiv 2103.16324
Accessing Vision Foundation Models via ImageNet-1K	Yitian Zhang, Xu Ma, Yue Bai	2024	arxiv 2407.10366
When does dough become a bagel? Analyzing the remaining mistakes on ImageNet	Vijay Vasudevan, Benjamin Caine, Raphael Gontijo-Lopes	2022	arxiv 2205.04596
Self-supervised Benchmark Lottery on ImageNet: Do Marginal Improvements Translate to Improvements on Similar Datasets?	Utku Ozbulak, Esla Timothy Anzaku, Solha Kang	2025	arxiv 2501.15431
ImageNet-E: Benchmarking Neural Network Robustness via Attribute Editing	Xiaodan Li, Yuefeng Chen, Yao Zhu	2023	arxiv 2303.17096
A Comprehensive Study of ImageNet Pre-Training for Historical Document Image Analysis	Linda Studer, Michele Alberti, Vinaychandran Pondenkandath	2019	arxiv 1905.09113
Performance degradation of ImageNet trained models by simple image transformations	Harsh Maheshwari	2022	arxiv 2207.08079
Fake it till you make it: Learning transferable representations from synthetic ImageNet clones	Mert Bulent Sariyildiz, Karteek Alahari, Diane Larlus	2022	arxiv 2212.08420
BioBench: A Blueprint to Move Beyond ImageNet for Scientific ML Benchmarks	Samuel Stevens	2025	arxiv 2511.16315
Can We Scale Transformers to Predict Parameters of Diverse ImageNet Models?	Boris Knyazev, Doha Hwang, Simon Lacoste-Julien	2023	arxiv 2303.04143
DenseNet Models for Tiny ImageNet Classification	Zoheb Abai, Nishad Rajmalwar	2019	arxiv 1904.10429
Object localization in ImageNet by looking out of the window	Alexander Vezhnevets, Vittorio Ferrari	2015	arxiv 1501.01181
Automated Classification of Model Errors on ImageNet	Momchil Peychev, Mark Niklas Müller, Marc Fischer	2023	arxiv 2401.02430
Squeeze, Recover and Relabel: Dataset Condensation at ImageNet Scale From A New Perspective	Zeyuan Yin, Eric Xing, Zhiqiang Shen	2023	arxiv 2306.13092
ImageNet-Patch: A Dataset for Benchmarking Machine Learning Robustness against Adversarial Patches	Maura Pintor, Daniele Angioni, Angelo Sotgiu	2022	arxiv 2203.04412
XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks	Mohammad Rastegari, Vicente Ordonez, Joseph Redmon	2016	arxiv 1603.05279
PASS: An ImageNet replacement for self-supervised pretraining without humans	Yuki M. Asano, Christian Rupprecht, Andrew Zisserman	2021	arxiv 2109.13228
Mitigating Overfitting in Medical Imaging: Self-Supervised Pretraining vs. ImageNet Transfer Learning for Dermatological Diagnosis	Iván Matas, Carmen Serrano, Miguel Nogales	2025	arxiv 2505.16773
Tokens-to-Token ViT: Training Vision Transformers from Scratch on ImageNet	Li Yuan, Yunpeng Chen, Tao Wang	2021	arxiv 2101.11986
Better plain ViT baselines for ImageNet-1k	Lucas Beyer, Xiaohua Zhai, Alexander Kolesnikov	2022	arxiv 2205.01580

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