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
SSP-RACL: Classification of Noisy Fundus Images with Self-Supervised Pretraining and Robust Adaptive Credal Loss	Mengwen Ye, Yingzi Huangfu, You Li	2024	arxiv 2409.18147
Enhancing CNN Classification with Lamarckian Memetic Algorithms and Local Search	Akhilbaran Ghosh, Rama Sai Adithya Kalidindi	2024	arxiv 2410.20234
OCT Data is All You Need: How Vision Transformers with and without Pre-training Benefit Imaging	Zihao Han, Philippe De Wilde	2025	arxiv 2502.12379
Ocular Disease Classification Using CNN with Deep Convolutional Generative Adversarial Network	Arun Kunwar, Dibakar Raj Pant, Jukka Heikkonen	2025	arxiv 2502.10334
Failure Prediction by Confidence Estimation of Uncertainty-Aware Dirichlet Networks	Theodoros Tsiligkaridis	2020	arxiv 2010.09865
Towards Reusable Network Components by Learning Compatible Representations	Michael Gygli, Jasper Uijlings, Vittorio Ferrari	2020	arxiv 2004.03898
Training Vision Transformers for Image Retrieval	Alaaeldin El-Nouby, Natalia Neverova, Ivan Laptev	2021	arxiv 2102.05644
Transfer learning based few-shot classification using optimal transport mapping from preprocessed latent space of backbone neural network	Tomáš Chobola, Daniel Vašata, Pavel Kordík	2021	arxiv 2102.05176
Model-Contrastive Federated Learning	Qinbin Li, Bingsheng He, Dawn Song	2021	arxiv 2103.16257
CondenseNet V2: Sparse Feature Reactivation for Deep Networks	Le Yang, Haojun Jiang, Ruojin Cai