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
SING: A Plug-and-Play DNN Learning Technique	Adrien Courtois, Damien Scieur, Jean-Michel Morel	2023	arxiv 2305.15997
Augmentation Inside the Network	Maciej Sypetkowski, Jakub Jasiulewicz, Zbigniew Wojna	2020	arxiv 2012.10769
GIFAIR-FL: A Framework for Group and Individual Fairness in Federated Learning	Xubo Yue, Maher Nouiehed, Raed Al Kontar	2021	arxiv 2108.02741
ResBuilder: Automated Learning of Depth with Residual Structures	Julian Burghoff, Matthias Rottmann, Jill von Conta	2023	arxiv 2308.08504
Transformer-Based Classification Outcome Prediction for Multimodal Stroke Treatment	Danqing Ma, Meng Wang, Ao Xiang	2024	arxiv 2404.12634
Hyperspectral Image Spectral-Spatial Feature Extraction via Tensor Principal Component Analysis	Yuemei Ren, Liang Liao, Stephen John Maybank	2024	arxiv 2412.06075
Deep-Relative-Trust-Based Diffusion for Decentralized Deep Learning	Muyun Li, Aaron Fainman, Stefan Vlaski	2025	arxiv 2501.03162
Towards Privacy-Preserving Medical Imaging: Federated Learning with Differential Privacy and Secure Aggregation Using a Modified ResNet Architecture	Mohamad Haj Fares, Ahmed Mohamed Saad Emam Saad	2024	arxiv 2412.00687
Explicit and Implicit Graduated Optimization in Deep Neural Networks	Naoki Sato, Hideaki Iiduka	2024	arxiv 2412.11501
PB-UAP: Hybrid Universal Adversarial Attack For Image Segmentation	Yufei Song, Ziqi Zhou, Minghui Li	2024

Unsupervised Visual Feature Learning with Spike-timing-dependent Plasticity: How Far are we from Traditional Feature Learning Approaches?	Pierre Falez, Pierre Tirilly, Ioan Marius Bilasco	2019	arxiv 1901.04392