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Papers for “imagenet”

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

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TitleAuthorsYearSource
The Impact of the Single-Label Assumption in Image Recognition BenchmarkingEsla Timothy Anzaku, Seyed Amir Mousavi, Arnout Van Messem2024arxiv 2412.18409
Natural Image Classification via Quasi-Cyclic Graph Ensembles and Random-Bond Ising Models at the Nishimori TemperatureV.S. Usatyuk, D.A. Sapozhnikov, S.I. Egorov2025arxiv 2508.18717
Soft Equivariance Regularization for Invariant Self-Supervised LearningJoohyung Lee, Changhun Kim, Hyunsu Kim2026arxiv 2603.06693
Enhancing Few-Shot Image Classification with Unlabelled ExamplesPeyman Bateni, Jarred Barber, Jan-Willem van de Meent2020arxiv 2006.12245
Deep Network Classification by Scattering and Homotopy Dictionary LearningJohn Zarka, Louis Thiry, Tomás Angles2019arxiv 1910.03561
Condition-Aware Neural Network for Controlled Image GenerationHan Cai, Muyang Li, Zhuoyang Zhang2024arxiv 2404.01143
THAT: Two Head Adversarial Training for Improving Robustness at ScaleZuxuan Wu, Tom Goldstein, Larry S. Davis2021arxiv 2103.13612
Real Time Image Saliency for Black Box ClassifiersPiotr Dabkowski, Yarin Gal2017arxiv 1705.07857
Combined Scaling for Zero-shot Transfer LearningHieu Pham, Zihang Dai, Golnaz Ghiasi2021arxiv 2111.10050
SpecDrop: Parameter-Free Category-Conditioned Routing for Modular SpecializationBoyao Wang, Zhihan Lei2026arxiv 2608.04084
LUMix: Improving Mixup by Better Modelling Label UncertaintyShuyang Sun, Jie-Neng Chen, Ruifei He2022arxiv 2211.15846
Understanding the Effects of Pre-Training for Object Detectors via EigenspectrumYosuke Shinya, Edgar Simo-Serra, Taiji Suzuki2019arxiv 1909.04021
Embedding Propagation: Smoother Manifold for Few-Shot ClassificationPau Rodríguez, Issam Laradji, Alexandre Drouin2020arxiv 2003.04151
Is Robustness the Cost of Accuracy? -- A Comprehensive Study on the Robustness of 18 Deep Image Classification ModelsDong Su, Huan Zhang, Hongge Chen2018arxiv 1808.01688
Self-Supervised Similarity Learning for Digital PathologyJacob Gildenblat, Eldad Klaiman2019arxiv 1905.08139
DetNAS: Backbone Search for Object DetectionYukang Chen, Tong Yang, Xiangyu Zhang2019arxiv 1903.10979
Is Synthetic Image Augmentation Useful for Imbalanced Classification Problems? Case-Study on the MIDOG2025 Atypical Cell Detection CompetitionLeire Benito-Del-Valle, Pedro A. Moreno-Sánchez, Itziar Egusquiza2025arxiv 2509.02612
GenFormer -- Generated Images are All You Need to Improve Robustness of Transformers on Small DatasetsSven Oehri, Nikolas Ebert, Ahmed Abdullah2024arxiv 2408.14131
The Origins and Prevalence of Texture Bias in Convolutional Neural NetworksKatherine L. Hermann, Ting Chen, Simon Kornblith2019arxiv 1911.09071
Concept Generalization in Visual Representation LearningMert Bulent Sariyildiz, Yannis Kalantidis, Diane Larlus2020arxiv 2012.05649