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
Risk-Aware Robust Learning: Reducing Clinical Risk under Label Noise in Medical Image Classification	Maycon R. S. Pereira, Filipe R. Cordeiro	2026	arxiv 2604.23875
Multi-View Synergistic Learning with Vision-Language Adaption for Low-Resource Biomedical Image Classification	Xiaoliu Luo, Minxue Xiao, Ting Xie	2026	arxiv 2604.23977
Physically-Induced Atmospheric Adversarial Perturbations: Enhancing Transferability and Robustness in Remote Sensing Image Classification	Weiwei Zhuang, Wangze Xie, Qi Zhang	2026	arxiv 2604.14643
Interpretable Network Visualizations: A Human-in-the-Loop Approach for Post-hoc Explainability of CNN-based Image Classification	Matteo Bianchi, Antonio De Santis, Andrea Tocchetti	2024	arxiv 2405.03301
Self-supervision for medical image classification: state-of-the-art performance with ~100 labeled training samples per class	Maximilian Nielsen, Laura Wenderoth, Thilo Sentker	2023	arxiv 2304.05163
Reliability Assessment Framework Based on Feature Separability for Pathological Cell Image Classification under Prior Bias	Takaaki Tachibana, Toru Nagasaka, Yukari Adachi	2025	arxiv 2511.01953
Unconstrained Open Vocabulary Image Classification: Zero-Shot Transfer from Text to Image via CLIP Inversion	Philipp Allgeuer, Kyra Ahrens, Stefan Wermter	2024	arxiv 2407.11211
PatchCT: Aligning Patch Set and Label Set with Conditional Transport for Multi-Label Image Classification	Miaoge Li, Dongsheng Wang, Xinyang Liu	2023	arxiv 2307.09066
Hybrid Classical-Quantum Deep Learning Models for Autonomous Vehicle Traffic Image Classification Under Adversarial Attack

Untangling Local and Global Deformations in Deep Convolutional Networks for Image Classification and Sliding Window Detection	George Papandreou, Iasonas Kokkinos, Pierre-André Savalle	2014	arxiv 1412.0296