SOTA2 Research · papers

Papers for “image classification”

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

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20 indexed

Title	Authors	Year	Source
Online Normalization for Training Neural Networks	Vitaliy Chiley, Ilya Sharapov, Atli Kosson	2019	arxiv 1905.05894
Benchmarking Adversarial Robustness	Yinpeng Dong, Qi-An Fu, Xiao Yang	2019	arxiv 1912.11852
AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty	Dan Hendrycks, Norman Mu, Ekin D. Cubuk	2019	arxiv 1912.02781
Moving Window Regression: A Novel Approach to Ordinal Regression	Nyeong-Ho Shin, Seon-Ho Lee, Chang-Su Kim	2022	arxiv 2203.13122
X-ViT: High Performance Linear Vision Transformer without Softmax	Jeonggeun Song, Heung-Chang Lee	2022	arxiv 2205.13805
8-bit Numerical Formats for Deep Neural Networks	Badreddine Noune, Philip Jones, Daniel Justus	2022	arxiv 2206.02915
Texture features in medical image analysis: a survey	Faeze Kiani	2022	arxiv 2208.02046
An Access Control Method with Secret Key for Semantic Segmentation Models	Teru Nagamori, Ryota Iijima, Hitoshi Kiya	2022	arxiv 2208.13135
Non-convex non-local flows for saliency detection	Iván Ramírez, Gonzalo Galiano, Emanuele Schiavi	2018	arxiv 1805.09408
Deep Learning for Active Region Classification: A Systematic Study from Convolutional Neural Networks to Vision Transformers	Edoardo Legnaro, Sabrina Guastavino, Michele Piana	2024	arxiv 2410.17816
Activation by Interval-wise Dropout: A Simple Way to Prevent Neural Networks from Plasticity Loss