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
Multigrid-in-Channels Architectures for Wide Convolutional Neural Networks	Jonathan Ephrath, Lars Ruthotto, Eran Treister	2020	arxiv 2006.06799
Towards Imperceptible Universal Attacks on Texture Recognition	Yingpeng Deng, Lina J. Karam	2020	arxiv 2011.11957
Artist, Style And Year Classification Using Face Recognition And Clustering With Convolutional Neural Networks	Doruk Pancaroglu	2020	arxiv 2012.01009
A Simple Semi-Supervised Learning Framework for Object Detection	Kihyuk Sohn, Zizhao Zhang, Chun-Liang Li	2020	arxiv 2005.04757
Multiscale Deep Equilibrium Models	Shaojie Bai, Vladlen Koltun, J. Zico Kolter	2020	arxiv 2006.08656
Multi-head Knowledge Distillation for Model Compression	Huan Wang, Suhas Lohit, Michael Jones	2020	arxiv 2012.02911
Pseudo-Rehearsal: Achieving Deep Reinforcement Learning without Catastrophic Forgetting	Craig Atkinson, Brendan McCane, Lech Szymanski	2018	arxiv 1812.02464
Block-term Tensor Neural Networks	Jinmian Ye, Guangxi Li, Di Chen	2020	arxiv 2010.04963
On Focal Loss for Class-Posterior Probability Estimation: A Theoretical Perspective	Nontawat Charoenphakdee, Jayakorn Vongkulbhisal, Nuttapong Chairatanakul	2020	arxiv 2011.09172
Energy-constrained Self-training for Unsupervised Domain Adaptation	Xiaofeng Liu, Bo Hu, Xiongchang Liu	2021	arxiv 2101.00316