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
Object-Attentional Untargeted Adversarial Attack	Chao Zhou, Yuan-Gen Wang, Guopu Zhu	2022	arxiv 2210.08472
There is No VAE: End-to-End Pixel-Space Generative Modeling via Self-Supervised Pre-training	Jiachen Lei, Keli Liu, Julius Berner	2025	arxiv 2510.12586
Vision Transformer Hashing for Image Retrieval	Shiv Ram Dubey, Satish Kumar Singh, Wei-Ta Chu	2021	arxiv 2109.12564
Evolving Image Compositions for Feature Representation Learning	Paola Cascante-Bonilla, Arshdeep Sekhon, Yanjun Qi	2021	arxiv 2106.09011
Query-Specific Knowledge Summarization with Entity Evolutionary Networks	Carl Yang, Lingrui Gan, Zongyi Wang	2019	arxiv 1909.13183
MixConv: Mixed Depthwise Convolutional Kernels	Mingxing Tan, Quoc V. Le	2019	arxiv 1907.09595
Wavelet Integrated CNNs for Noise-Robust Image Classification	Qiufu Li, Linlin Shen, Sheng Guo	2020	arxiv 2005.03337
Feature Denoising for Improving Adversarial Robustness	Cihang Xie, Yuxin Wu, Laurens van der Maaten	2018	arxiv 1812.03411
Back to Simplicity: How to Train Accurate BNNs from Scratch?	Joseph Bethge, Haojin Yang, Marvin Bornstein	2019	arxiv 1906.08637
Unsupervised Object-Level Representation Learning from Scene Images	Jiahao Xie, Xiaohang Zhan, Ziwei Liu	2021	arxiv 2106.11952
Testing Robustness Against Unforeseen Adversaries