Image Classification

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Overview

Image classification studies how to assign one or more labels to an image, supporting applications from species identification and medical diagnosis to document processing and remote sensing. Common approaches include convolutional neural networks, vision transformers, and pretrained vision-language models, trained with supervised, self-supervised, transfer, or few-shot learning. Researchers also develop data augmentation, hierarchical prediction, uncertainty estimation, and efficient models for settings such as ImageNet, corruption benchmarks, and specialized domain datasets. A central challenge is that strong accuracy on standard test sets may not transfer under distribution shifts or reveal reliance on spurious cues, while improving robustness, calibration, and efficiency can involve trade-offs.

Latest papers

CardsList

390 papers29 papers in the last four weeks, down 34% on the four weeks before. 0.2% of all new papers.

  1. Dynamic Graph Neural Network with Adaptive Features Selection for RGB-D Based Indoor Scene Recognition

    Apr 1, 2026Qiong Liu, Ruofei Xiong, Xingzhen Chen +2Multimodal Graph LearningDynamic Graph Learning

    School of Electronic Information and Communications, Huazhong University of Science and Technology, No. 1037, Luoyu Rd., Wuhan, 430074, P. R. China

  2. Label-efficient underwater image classification with logistic regression on frozen foundation model embeddings

    Mar 31, 2026Thomas Manuel Rost, Martina Figlia, F. Morgado-Dias +1Image ClassificationFew-Shot Image Classification

    University of Madeira, Faculty of Exact Sciences and Engineering, Funchal, Portugal · Interactive Technologies Institute (ITI/LARSyS), ARDITI, Funchal, Portugal · Wave Labs, Faculty of Arts and Humanities, University of Madeira, Portugal +4

  3. Lead Zirconate Titanate Reservoir Computing for Classification of Written and Spoken Digits

    Mar 31, 2026Thomas Buckley, Leslie Schumm, Manor Askenazi +1Handwritten Digit RecognitionReservoir Computing

    Manning College of Information and Computer Science, University of Massachusetts Amherst, MA 01003 · Now at Harvard · Independent Researcher, Chicago, IL +2

  4. Dual-Imbalance Continual Learning for Real-World Food Recognition

    Mar 31, 2026Xiaoyan Zhang, Jiangpeng HeClass-Incremental LearningIncremental Learning

    University of Michigan, Ann Arbor, Michigan, U.S.A · Indiana University, Bloomington, Indiana, U.S.A

  5. MEDiC: Multi-objective Exploration of Distillation from CLIP

    Mar 30, 2026Konstantinos Georgiou, Maofeng Tang, Hairong QiMasked Image ModelingVLM Distillation

    Min H. Kao Department of Electrical Engineering and Computer Science The University of Tennessee Knoxville, TN 37996

  6. Embedding-Only Uplink for Onboard Retrieval Under Shift in Remote Sensing

    Mar 30, 2026Sangcheol SimDomain GeneralizationDense Retrieval

    Telepix

  7. EVA: Bridging Performance and Human Alignment in Hard-Attention Vision Models for Image Classification

    Mar 28, 2026Pengcheng Pan, Yonekura Shogo, Kuniyoshi YasuoScanpath PredictionActive Vision

    The University of Tokyo

  8. NERO-Net: A Neuroevolutionary Approach for the Design of Adversarially Robust CNNs

    Mar 26, 2026Inês Valentim, Nuno Antunes, Nuno LourençoAdversarial RobustnessConvolutional Neural Networks

    University of Coimbra, CISUC/LASI, DEI, Coimbra, Portugal

  9. Vision Hopfield Memory Networks for Image Recognition

    Mar 26, 2026Jianfeng Wang, Amine M'Charrak, Luk Koska +6Memory-Augmented Neural NetworksHopfield Networks

    Department of Computer Science, University of Oxford, United Kingdom · Faculty of Informatics, Vienna University of Technology, Austria

  10. FD2^2: A Dedicated Framework for Fine-Grained Dataset Distillation

    Mar 26, 2026Hongxu Ma, Guang Li, Shijie Wang +5Fine-Grained Image ClassificationDataset Distillation

    Zhejiang University · Hokkaido University · The University of Queensland +2

  11. MoireMix: A Formula-Based Data Augmentation for Improving Image Classification Robustness

    Mar 26, 2026Yuto Matsuo, Yoshihiro Fukuhara, Yuki M. Asano +3Data AugmentationSynthetic Data Augmentation

    National Institute of Advanced Industrial Science and Technology (AIST) · Tokyo Denki University · Waseda University +2

  12. Machine vision with small numbers of detected photons per inference

    Mar 25, 2026Shi-Yuan Ma, Jérémie Laydevant, Mandar M. Sohoni +3Image ClassificationHardware-Software Co-Design

    School of Applied and Engineering Physics, Cornell University, Ithaca, NY 14853, USA · Present address: Research Laboratory of Electronics, Massachusetts Institute of Technology, Cambridge, MA 02139, USA. · NTT Physics and Informatics Laboratories, NTT Research, Inc., Sunnyvale, CA 94085, USA +2

  13. Physical Knot Classification Beyond Accuracy: A Benchmark and Diagnostic Study

    Mar 24, 2026Shiheng Nie, Yunguang YueClassificationFine-Grained Image Classification

    College of Science, Shihezi University, Shihezi 832003, Xinjiang, China

  14. BHDD: A Burmese Handwritten Digit Dataset

    Mar 23, 2026Swan Htet Aung, Hein Htet, Htoo Say Wah Khaing +1Handwritten Digit RecognitionOptical Character Recognition

    Expa.AI Research Team, Yangon, Myanmar

  15. Ctrl-A: Control-Driven Machine Learning using Adaptive Online Data Augmentation

    Mar 23, 2026Jesper B. Christensen, Ciaran Bench, Spencer A. Thomas +4Data AugmentationImage Classification

    Danish Fundamental Metrology (DFM), Kogle Allé 5, DK-2970 Hørsholm, Denmark · National Physical Laboratory (NPL), Teddington, United Kingdom · TÜV SÜD, Warrington, United Kingdom +2

  16. End-to-End Optimization of Polarimetric Measurement and Material Classifier

    Mar 20, 2026Ryota Maeda, Naoki Arikawa, Yutaka No +1Polarimetric ImagingImage Classification

    Graduate School of Engineering, University of Hyogo, Himeji, Japan

  17. Mixture of Experts with Soft Nearest Neighbor Loss: Resolving Expert Collapse via Representation Disentanglement

    Mar 20, 2026Abien Fred Agarap, Arnulfo P. AzcarragaMixture of ExpertsMixture-of-Experts Models

    De La Salle University, Manila, Philippines

  18. MFil-Mamba: Multi-Filter Scanning for Spatial Redundancy-Aware Visual State Space Models

    Mar 20, 2026Puskal Khadka, KC SantoshVisual SSMsImage Classification

    USD Artifical Intelligence Research, Department of Computer Science, University of South Dakota, Vermillion, 57069, USA.

  19. Growing Networks with Autonomous Pruning

    Mar 20, 2026Charles De Lambilly, Stefan DuffnerDynamic Sparse TrainingNeural Network Growth

    INSA Lyon, CNRS, Ecole Centrale de Lyon, Universite Claude Bernard Lyon 1, Université Lumière Lyon 2, LIRIS, UMR5205, , Villeurbanne, 69621, France

  20. Continual Learning for Food Category Classification Dataset: Enhancing Model Adaptability and Performance

    Mar 20, 2026Piyush Kaushik Bhattacharyya, Devansh Tomar, Shubham Mishra +6Continual LearningClass-Incremental Learning

    School of Computer Engineering, KIIT University, Bhubaneshwar, India

  21. Vision Tiny Recursion Model (ViTRM): Parameter-Efficient Image Classification via Recursive State Refinement

    Mar 19, 2026Ange-Clément Akazan, Abdoulaye Koroko, Verlon Roel Mbingui +3Image ClassificationEfficient ViTs

    ΣηiGmα Research Group · AIMS RIC · SaH Analytics International

  22. VeloxNet: Efficient Spatial Gating for Lightweight Embedded Image Classification

    Mar 19, 2026Md Meftahul Ferdaus, Elias Ioup, Mahdi Abdelguerfi +4Image ClassificationLightweight CNNs

    Canizaro Livingston Gulf States Center for Environmental Informatics, the University of New Orleans, New Orleans, USA · Center for Geospatial Sciences, Naval Research Laboratory, Stennis Space Center, Hancock County, Mississippi, USA · US Army Corps of Engineers, Engineer Research and Development Center, Vicksburg, Mississippi, USA

  23. Revisiting Autoregressive Models for Generative Image Classification

    Mar 19, 2026Ilia Sudakov, Artem Babenko, Dmitry BaranchukVisual Autoregressive ModelsImage Classification

    1HSE University · 2Yandex Research

  24. HAViT: Historical Attention Vision Transformer

    Mar 19, 2026Swarnendu Banik, Manish Das, Shiv Ram Dubey +1Cross-Layer AttentionVision Transformer

    Computer Vision and Biometrics Lab, Indian Institute of Information Technology, Allahabad

  25. FMMC: Harnessing the Power of Foundation Models for Accurate Material Classification

    Mar 18, 2026Qingran Lin, Fengwei Yang, Chaolun ZhuVision-Language ModelsSynthetic Data Generation

    Georgia Institute of Technology · Duke University · Waseda University

  26. Accurate Shift Invariant Convolutional Neural Networks Using Gaussian-Hermite Moments

    Mar 17, 2026Jaspreet Singh, Petra Bosilj, Grzegorz CielniakConvolutional Neural NetworksEquivariant Neural Networks

  27. Hybrid Classical-Quantum Transfer Learning with Noisy Quantum Circuits

    Mar 17, 2026D. Martín-Pérez, F. Rodríguez-Díaz, D. Gutiérrez-Avilés +2Quantum Machine LearningHybrid Quantum-Classical ML

    Data Science and Big Data Lab, Pablo de Olavide University, Seville, Spain · Department of Computer Science, University of Seville, Seville, Spain

  28. Automated identification of Ichneumonoidea wasps via YOLO-based deep learning: Integrating HiresCam for Explainable AI

    Mar 17, 2026Joao Manoel Herrera Pinheiro, Gabriela Do Nascimento Herrera, Alvaro Doria Dos Santos +7Biodiversity MonitoringImage Classification

    São Carlos School of Engineering, University of São Paulo, São Carlos 13566590, SP, Brazil · Department of Ecology and Evolutionary Biology, Federal University of São Carlos, São Carlos 13565905, Brazil · Federal University of Tocantins, Porto Nacional, 77500000, Brazil +2

  29. When Generative Augmentation Hurts: A Benchmark Study of GAN and Diffusion Models for Bias Correction in AI Classification Systems

    Mar 17, 2026Shesh Narayan Gupta, Nik Bear BrownSynthetic Data AugmentationClass-Imbalanced Learning

    College of Engineering, Northeastern University, Boston, MA 02115, USA

  30. ZOTTA: Test-Time Adaptation with Gradient-Free Zeroth-Order Optimization

    Mar 15, 2026Ronghao Zhang, Shuaicheng Niu, Qi Deng +3Test-Time AdaptationZeroth-Order Optimization

    South China University of Technology, Guangzhou, 510000, China. · Nanyang Technological University, 639798, Singapore. · Xi’an Jiaotong University, Xi’an, 710049, China. +1