SOTA2 Research · papers

Papers for “imagenet”

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

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20 indexed

Title	Authors	Year	Source
ImageNet pre-trained models with batch normalization	Marcel Simon, Erik Rodner, Joachim Denzler	2016	arxiv 1612.01452
ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness	Robert Geirhos, Patricia Rubisch, Claudio Michaelis	2018	arxiv 1811.12231
The Role of ImageNet Classes in Fr\'echet Inception Distance	Tuomas Kynkäänniemi, Tero Karras, Miika Aittala	2022	arxiv 2203.06026
Auditing ImageNet: Towards a Model-driven Framework for Annotating Demographic Attributes of Large-Scale Image Datasets	Chris Dulhanty, Alexander Wong	2019	arxiv 1905.01347
Efficient Key-Based Adversarial Defense for ImageNet by Using Pre-trained Model	AprilPyone MaungMaung, Isao Echizen, Hitoshi Kiya	2023	arxiv 2311.16577
Beyond ImageNet Attack: Towards Crafting Adversarial Examples for Black-box Domains	Qilong Zhang, Xiaodan Li, Yuefeng Chen	2022	arxiv 2201.11528
Re-labeling ImageNet: from Single to Multi-Labels, from Global to Localized Labels	Sangdoo Yun, Seong Joon Oh, Byeongho Heo	2021	arxiv 2101.05022
ConvNets and ImageNet Beyond Accuracy: Understanding Mistakes and Uncovering Biases	Pierre Stock, Moustapha Cisse	2017	arxiv 1711.11443
ImageNet Large Scale Visual Recognition Challenge	Olga Russakovsky, Jia Deng, Hao Su	2014	arxiv 1409.0575
CINIC-10 is not ImageNet or CIFAR-10	Luke N. Darlow, Elliot J. Crowley, Antreas Antoniou	2018