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Papers for “image classification”

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

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TitleAuthorsYearSource
ReDistill: Residual Encoded Distillation for Peak Memory Reduction of CNNsFang Chen, Gourav Datta, Mujahid Al Rafi2024arxiv 2406.03744
ThyroidEffi 1.0: A Cost-Effective System for High-Performance Multi-Class Thyroid Carcinoma ClassificationHai Pham-Ngoc, De Nguyen-Van, Dung Vu-Tien2025arxiv 2504.14139
Towards Accurate and Interpretable Neuroblastoma Diagnosis via Contrastive Multi-scale Pathological Image AnalysisZhu Zhu, Shuo Jiang, Jingyuan Zheng2025arxiv 2504.13754
Pre-trained Encoder Inference: Revealing Upstream Encoders In Downstream Machine Learning ServicesShaopeng Fu, Xuexue Sun, Ke Qing2024arxiv 2408.02814
Automatic Classification and Segmentation of Tunnel Cracks Based on Deep Learning and Visual ExplanationsYong Feng, Xiaolei Zhang, Shijin Feng2025arxiv 2507.14010
Beyond Heuristic Prompting: A Concept-Guided Bayesian Framework for Zero-Shot Image RecognitionHui Liu, Kecheng Chen, Jialiang Wang2026arxiv 2603.07911
Deep Learning using Rectified Linear Units (ReLU)Abien Fred Agarap2018arxiv 1803.08375
Do Counterfactually Fair Image Classifiers Satisfy Group Fairness? -- A Theoretical and Empirical StudySangwon Jung, Sumin Yu, Sanghyuk Chun2026arxiv 2607.06603
PE-former: Pose Estimation TransformerPaschalis Panteleris, Antonis Argyros2021arxiv 2112.04981
Out of Distribution Data Detection Using Dropout Bayesian Neural NetworksAndre T. Nguyen, Fred Lu, Gary Lopez Munoz2022arxiv 2202.08985
Access Control of Object Detection Models Using Encrypted Feature MapsTeru Nagamori, Hiroki Ito, April Pyone Maung Maung2022arxiv 2202.00265
Should Adversarial Attacks Use Pixel p-Norm?Ayon Sen, Xiaojin Zhu, Liam Marshall2019arxiv 1906.02439
Train and Deploy an Image Classifier for Disaster ResponseJianyu Mao, Kiana Harris, Nae-Rong Chang2020arxiv 2005.05495
Non-Negative Networks Against Adversarial AttacksWilliam Fleshman, Edward Raff, Jared Sylvester2018arxiv 1806.06108
Optimizing Convolutional Neural Networks for Embedded Systems by Means of NeuroevolutionFilip Badan, Lukas Sekanina2019arxiv 1910.06854
Block-wise Scrambled Image Recognition Using Adaptation NetworkKoki Madono, Masayuki Tanaka, Masaki Onishi2020arxiv 2001.07761
Fusing image representations for classification using support vector machinesCan Demirkesen, Hocine Cherifi2012arxiv 1207.3607
Using mixup as regularization and tuning hyper-parameters for ResNetsVenkata Bhanu Teja Pallakonda2021arxiv 2111.11616
An empirical study of the relation between network architecture and complexityEmir Konuk, Kevin Smith2019arxiv 1911.04120
Classifying Images with CoLaNET Spiking Neural Network -- the MNIST ExampleMikhail Kiselev2024arxiv 2409.07833