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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
Agglomerative Token ClusteringJoakim Bruslund Haurum, Sergio Escalera, Graham W. Taylor2024arxiv 2409.11923
Informative Class Activation MapsZhenyue Qin, Dongwoo Kim, Tom Gedeon2021arxiv 2106.10472
Safety Metrics for Semantic Segmentation in Autonomous DrivingChih-Hong Cheng, Alois Knoll, Hsuan-Cheng Liao2021arxiv 2105.10142
On sensitivity of meta-learning to support dataMayank Agarwal, Mikhail Yurochkin, Yuekai Sun2021arxiv 2110.13953
ML Attack Models: Adversarial Attacks and Data Poisoning AttacksJing Lin, Long Dang, Mohamed Rahouti2021arxiv 2112.02797
Appropriate Learning Rates of Adaptive Learning Rate Optimization Algorithms for Training Deep Neural NetworksHideaki Iiduka2020arxiv 2002.09647
RobustNeuralNetworks.jl: a Package for Machine Learning and Data-Driven Control with Certified RobustnessNicholas H. Barbara, Max Revay, Ruigang Wang2023arxiv 2306.12612
KOALA++: Efficient Kalman-Based Optimization with Gradient-Covariance ProductsZixuan Xia, Aram Davtyan, Paolo Favaro2025arxiv 2506.04432
FI-ODE: Certifiably Robust Forward Invariance in Neural ODEsYujia Huang, Ivan Dario Jimenez Rodriguez, Huan Zhang2022arxiv 2210.16940
Evaluation of Deep Neural Network Domain Adaptation Techniques for Image RecognitionAlan Preciado-Grijalva, Venkata Santosh Sai Ramireddy Muthireddy2021arxiv 2109.13420
Transfer Learning with Neural AutoMLCatherine Wong, Neil Houlsby, Yifeng Lu2018arxiv 1803.02780
Deep Residual Learning in the JPEG Transform DomainMax Ehrlich, Larry Davis2018arxiv 1812.11690
Blink: Fast and Generic Collectives for Distributed MLGuanhua Wang, Shivaram Venkataraman, Amar Phanishayee2019arxiv 1910.04940
An Intelligent Remote Sensing Image Quality Inspection SystemYijiong Yu, Tao Wang, Kang Ran2023arxiv 2307.11965
Offline Writer Identification Using Convolutional Neural Network Activation FeaturesVincent Christlein, David Bernecker, Andreas Maier2024arxiv 2402.17029
The Susceptibility of Example-Based Explainability Methods to Class OutliersIkhtiyor Nematov, Dimitris Sacharidis, Tomer Sagi2024arxiv 2407.20678
Deep Learning Classification With Noisy LabelsGuillaume Sanchez, Vincente Guis, Ricard Marxer2020arxiv 2004.11116
Data Pruning via Separability, Integrity, and Model Uncertainty-Aware Importance SamplingSteven Grosz, Rui Zhao, Rajeev Ranjan2024arxiv 2409.13915
Stochastic Resonance Improves the Detection of Low Contrast Images in Deep Learning ModelsSiegfried Ludwig2025arxiv 2502.14442
A Continual Learning Framework for Adaptive Defect Classification and InspectionWenbo Sun, Raed Al Kontar, Judy Jin2022arxiv 2203.08796