Research

Papers for “image classification”

Find papers, implementations, and the benchmark evidence behind state-of-the-art AI systems.

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	2021	arxiv 2104.04382
Unsupervised data augmentation for object detection	Yichen Zhang, Zeyang Song, Wenbo Li	2021	arxiv 2104.14965
Florida Wildlife Camera Trap Dataset	Crystal Gagne, Jyoti Kini, Daniel Smith	2021	arxiv 2106.12628
Stochastic Deep Networks with Linear Competing Units for Model-Agnostic Meta-Learning	Konstantinos Kalais, Sotirios Chatzis	2022	arxiv 2208.01573
Responsibility: An Example-based Explainable AI approach via Training Process Inspection	Faraz Khadivpour, Arghasree Banerjee, Matthew Guzdial	2022	arxiv 2209.03433
CLAD: A Contrastive Learning based Approach for Background Debiasing	Ke Wang, Harshitha Machiraju, Oh-Hyeon Choung	2022	arxiv 2210.02748
Automatic Error Detection in Integrated Circuits Image Segmentation: A Data-driven Approach	Zhikang Zhang, Bruno Machado Trindade, Michael Green	2022	arxiv 2211.03927
A Neural ODE Interpretation of Transformer Layers	Yaofeng Desmond Zhong, Tongtao Zhang, Amit Chakraborty	2022	arxiv 2212.06011
Dynamic Grained Encoder for Vision Transformers	Lin Song, Songyang Zhang, Songtao Liu	2023	arxiv 2301.03831
Image and Model Transformation with Secret Key for Vision Transformer	Hitoshi Kiya, Ryota Iijima, MaungMaung Aprilpyone	2022	arxiv 2207.05366
Empowering Networks With Scale and Rotation Equivariance Using A Similarity Convolution	Zikai Sun, Thierry Blu	2023	arxiv 2303.00326

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