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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
Assisted Perception: Optimizing Observations to Communicate StateSiddharth Reddy, Sergey Levine, Anca D. Dragan2020arxiv 2008.02840
First Session Adaptation: A Strong Replay-Free Baseline for Class-Incremental LearningAristeidis Panos, Yuriko Kobe, Daniel Olmeda Reino2023arxiv 2303.13199
Decompose-and-Compose: A Compositional Approach to Mitigating Spurious CorrelationFahimeh Hosseini Noohdani, Parsa Hosseini, Aryan Yazdan Parast2024arxiv 2402.18919
Contrastive Learning to Fine-Tune Feature Extraction Models for the Visual CortexAlex Mulrooney, Austin J. Brockmeier2024arxiv 2410.06067
CLIP meets DINO for Tuning Zero-Shot Classifier using Unlabeled Image CollectionsMohamed Fazli Imam, Rufael Fedaku Marew, Jameel Hassan2024arxiv 2411.19346
Co-Training with Active Contrastive Learning and Meta-Pseudo-Labeling on 2D Projections for Deep Semi-Supervised LearningDavid Aparco-Cardenas, Jancarlo F. Gomes, Alexandre X. Falcão2025arxiv 2504.18666
Modeling & Evaluating the Performance of Convolutional Neural Networks for Classifying Steel Surface DefectsNadeem Jabbar Chaudhry, M. Bilal Khan, M. Javaid Iqbal2024arxiv 2406.14583
Sphere2Vec: A General-Purpose Location Representation Learning over a Spherical Surface for Large-Scale Geospatial PredictionsGengchen Mai, Yao Xuan, Wenyun Zuo2023arxiv 2306.17624
LPLgrad: Optimizing Active Learning Through Gradient Norm Sample Selection and Auxiliary Model TrainingShreen Gul, Mohamed Elmahallawy, Sanjay Madria2024arxiv 2411.15217
Visual RAG: Expanding MLLM visual knowledge without fine-tuningMirco Bonomo, Simone Bianco2025arxiv 2501.10834
BottleFit: Learning Compressed Representations in Deep Neural Networks for Effective and Efficient Split ComputingYoshitomo Matsubara, Davide Callegaro, Sameer Singh2022arxiv 2201.02693
Deep Reinforcement Learning using Capsules in Advanced Game EnvironmentsPer-Arne Andersen2018arxiv 1801.09597
Identification of Seed Cells in Multispectral Images for GrowCut SegmentationWuilan Torres, Antonio Rueda-Toicen2018arxiv 1801.05525
Automated identification of hookahs (waterpipes) on Instagram: an application in feature extraction using Convolutional Neural Network and Support Vector Machine classificationYoushan Zhang, Jon-Patrick Allem, Jennifer B. Unger2018arxiv 1810.08881
Transfer learning for galaxy feature detection: Finding Giant Star-forming Clumps in low redshift galaxies using Faster R-CNNJürgen Popp, Hugh Dickinson, Stephen Serjeant2023arxiv 2312.03503
Point TransformerHengshuang Zhao, Li Jiang, Jiaya Jia2020arxiv 2012.09164
Segmentation of Roads in Satellite Images using specially modified U-Net CNNsJonas Bokstaller, Yihang She, Zhehan Fu2021arxiv 2109.14671
DFTS2: Simulating Deep Feature Transmission Over Packet Loss ChannelsAshiv Dhondea, Robert A. Cohen, Ivan V. Bajić2021arxiv 2112.00794
Multimodal Representation Learning via Maximization of Local Mutual InformationRuizhi Liao, Daniel Moyer, Miriam Cha2021arxiv 2103.04537
Optimal Complexity in Decentralized TrainingYucheng Lu, Christopher De Sa2020arxiv 2006.08085