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
Drop to Adapt: Learning Discriminative Features for Unsupervised Domain Adaptation	Seungmin Lee, Dongwan Kim, Namil Kim	2019	arxiv 1910.05562
Achieving Generalizable Robustness of Deep Neural Networks by Stability Training	Jan Laermann, Wojciech Samek, Nils Strodthoff	2019	arxiv 1906.00735
High Performance I/O For Large Scale Deep Learning	Alex Aizman, Gavin Maltby, Thomas Breuel	2020	arxiv 2001.01858
Database Meets Deep Learning: Challenges and Opportunities	Wei Wang, Meihui Zhang, Gang Chen	2019	arxiv 1906.08986
Towards a Design Framework for TNN-Based Neuromorphic Sensory Processing Units	Prabhu Vellaisamy, John Paul Shen	2022	arxiv 2205.14248
On the Transferability of Adversarial Examples between Encrypted Models	Miki Tanaka, Isao Echizen, Hitoshi Kiya	2022	arxiv 2209.02997
mFI-PSO: A Flexible and Effective Method in Adversarial Image Generation for Deep Neural Networks	Hai Shu, Ronghua Shi, Qiran Jia	2020	arxiv 2006.03243
Distributed Training of Deep Neural Networks with Theoretical Analysis: Under SSP Setting	Abhimanu Kumar, Pengtao Xie, Junming Yin	2015	arxiv 1512.02728
HyperSpectral classification with adaptively weighted L1-norm regularization and spatial postprocessing	Victor Stefan Aldea	2014	arxiv 1412.2684
Category Query Learning for Human-Object Interaction Classification	Chi Xie, Fangao Zeng, Yue Hu	2023	arxiv 2303.14005