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. Discriminative Flow Matching Via Local Generative Predictors

    Mar 14, 2026Om Govind Jha, Manoj Bamniya, Ayon BorthakurFlow MatchingObject Detection

  2. SortScrews: A Dataset and Baseline for Real-time Screw Classification

    Mar 13, 2026Tianhao Fu, Bingxuan Yang, Juncheng Guo +2Industrial AutomationClassification

  3. Wear Classification of Abrasive Flap Wheels using a Hierarchical Deep Learning Approach

    Mar 13, 2026Falko Kähler, Maxim Wille, Ole Schmedemann +1Hierarchical ClassificationClassification

  4. Single Pixel Image Classification using an Ultrafast Digital Light Projector

    Mar 12, 2026Aisha Kanwal, Graeme E. Johnstone, Fahimeh Dehkhoda +5Image ClassificationComputational Imaging

  5. Beyond Barren Plateaus: A Scalable Quantum Convolutional Architecture for High-Fidelity Image Classification

    Mar 11, 2026Radhakrishnan DelhibabuQuantum Convolutional Neural NetworksQuantum Circuit Trainability

  6. A Saccade-inspired Approach to Image Classification using Vision Transformer Attention Maps

    Mar 10, 2026Matthis Dallain, Laurent Rodriguez, Laurent Udo Perrinet +1Active VisionFoveated Vision

  7. Machine Learning Based Identification of Solvents from Post-Desiccation Patterns

    Mar 8, 2026Jesús Israel Morán-Cortés, Felipe Pacheco-VázquezImage Classification

  8. A Systematic Comparison of Training Objectives for Out-of-Distribution Detection in Image Classification

    Mar 8, 2026Furkan Genç, Onat Özdemir, Emre AkbaşOOD DetectionImage Classification

  9. Scaling Laws in the Tiny Regime: How Small Models Change Their Mistakes

    Mar 7, 2026Mohammed Alnemari, Rizwan Qureshi, Nader BegrazadahNeural Scaling LawsTiny ML

  10. Multimodal Large Language Models as Image Classifiers

    Mar 6, 2026Nikita Kisel, Illia Volkov, Klara Janouskova +1Multimodal Large Language ModelsMultimodal Classification

  11. DiffInf: Influence-Guided Diffusion for Supervision Alignment in Facial Attribute Learning

    Mar 6, 2026Basudha Pal, Zhaoyang Wang, Rama ChellappaLearning with Noisy LabelsImage Classification

  12. Unlocking ImageNet's Multi-Object Nature: Automated Large-Scale Multilabel Annotation

    Mar 5, 2026Junyu Chen, Md Yousuf Harun, Christopher KananUnsupervised Visual Concept DiscoveryMulti-Label Classification

  13. Enhancing Authorship Attribution with Synthetic Paintings

    Mar 4, 2026Clarissa Loures, Caio Hosken, Luan Oliveira +2Authorship AttributionImage Classification

  14. Semantic Bridging Domains: Pseudo-Source as Test-Time Connector

    Mar 4, 2026Xizhong Yang, Huiming Wang, Ning Xu +1Domain AdaptationSource-Free Domain Adaptation

  15. Separators in Enhancing Autoregressive Pretraining for Vision Mamba

    Mar 4, 2026Hanpeng Liu, Zidan Wang, Shuoxi Zhang +2Visual Autoregressive ModelsVisual SSMs

  16. Specificity-aware reinforcement learning for fine-grained open-world classification

    Mar 3, 2026Samuele Angheben, Davide Berasi, Alessandro Conti +2Image ClassificationFine-Grained Image Classification

  17. Layer-wise QUBO-Based Training of CNN Classifiers for Quantum Annealing

    Mar 3, 2026Mostafa Atallah, Rebekah HerrmanImage ClassificationHybrid Quantum-Classical ML

  18. WTHaar-Net: a Hybrid Quantum-Classical Approach

    Mar 3, 2026Vittorio Palladino, Tsai Idden, Ahmet Enis CetinHybrid Quantum-Classical MLConvolutional Neural Networks

  19. Skin Tone in the Wild: A Dataset and Benchmark for 10-tone MST Classification

    Mar 2, 2026Vitor Matias, Márcus Vinícius Lobo Costa, Tiago Novello +1ClassificationAlgorithmic Fairness

  20. Leveraging Model Soups to Classify Intangible Cultural Heritage Images from the Mekong Delta

    Mar 2, 2026Quoc-Khang Tran, Minh-Thien Nguyen, Nguyen-Khang PhamImage ClassificationFine-Grained Image Classification

  21. MobileMold: A Smartphone-Based Microscopy Dataset for Food Mold Detection

    Mar 2, 2026Dinh Nam Pham, Leonard Prokisch, Bennet Meyer +1Microscopy Image AnalysisImage Classification

  22. An Analysis of Multi-Task Architectures for the Hierarchic Multi-Label Problem of Vehicle Model and Make Classification

    Mar 2, 2026Alexandru Manole, Laura DiosanMulti-Task LearningMulti-Label Classification

  23. IU: Imperceptible Universal Backdoor Attack

    Feb 28, 2026Hsin Lin, Yan-Lun Chen, Ren-Hung Hwang +1Backdoor AttacksImage Classification

  24. Energy-Efficient Information Representation in MNIST Classification Using Biologically Inspired Learning

    Feb 28, 2026Patrick Stricker, Florian Röhrbein, Andreas KnoblauchEnergy-Efficient MLBiologically Plausible Learning

  25. Deep Learning-Based Meat Freshness Detection with Segmentation and OOD-Aware Classification

    Feb 27, 2026Hutama Arif Bramantyo, Mukarram Ali Faridi, Rui Chen +2ClassificationImage Classification

  26. RAViT: Resolution-Adaptive Vision Transformer

    Feb 27, 2026Martial Guidez, Stefan Duffner, Christophe GarciaEfficient ViTsVision Transformer

  27. Intrinsic Lorentz Neural Network

    Feb 27, 2026Xianglong Shi, Ziheng Chen, Yunhan Jiang +1Hyperbolic Representation LearningImage Classification

  28. Cross-Task Benchmarking of CNN Architectures

    Feb 25, 2026Kamal Sherawat, Vikrant BhatiConvolutional Neural NetworksDynamic Convolution