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
Seesaw-Net: Convolution Neural Network With Uneven Group Convolution	Jintao Zhang	2019	arxiv 1905.03672
Piecewise Strong Convexity of Neural Networks	Tristan Milne	2018	arxiv 1810.12805
Specifying Weight Priors in Bayesian Deep Neural Networks with Empirical Bayes	Ranganath Krishnan, Mahesh Subedar, Omesh Tickoo	2019	arxiv 1906.05323
MaxUp: A Simple Way to Improve Generalization of Neural Network Training	Chengyue Gong, Tongzheng Ren, Mao Ye	2020	arxiv 2002.09024
Learning Cross-domain Generalizable Features by Representation Disentanglement	Qingjie Meng, Daniel Rueckert, Bernhard Kainz	2020	arxiv 2003.00321
Unrestricted Adversarial Examples via Semantic Manipulation	Anand Bhattad, Min Jin Chong, Kaizhao Liang	2019	arxiv 1904.06347
ParasNet: Fast Parasites Detection with Neural Networks	X.F. Xu, S. Talbot, T. Selvaraja	2020	arxiv 2002.11327
Neural Architecture Search in Embedding Space	Chun-Ting Liu	2019	arxiv 1909.03615
Generative Adversarial Zero-shot Learning via Knowledge Graphs	Yuxia Geng, Jiaoyan Chen, Zhuo Chen	2020	arxiv 2004.03109
Binary Neural Networks: A Survey	Haotong Qin, Ruihao Gong, Xianglong Liu	2020	arxiv 2004.03333
The Best Defense Is a Good Offense: Adversarial Attacks to Avoid Modulation Detection	Muhammad Zaid Hameed, Andras Gyorgy, Deniz Gunduz