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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
Multi-Level CLS Token Fusion for Contrastive Learning in Endoscopy Image ClassificationY Hop Nguyen, Doan Anh Phan Huu, Trung Thai Tran2025arxiv 2509.00752
Semantic-Guided Generative Image Augmentation Method with Diffusion Models for Image ClassificationBohan Li, Xiao Xu, Xinghao Wang2023arxiv 2302.02070
Strategies and impact of learning curve estimation for CNN-based image classificationLaura Didyk, Brayden Yarish, Michael A. Beck2023arxiv 2310.08470
Enhancing Image Classification in Small and Unbalanced Datasets through Synthetic Data AugmentationNeil De La Fuente, Mireia Majó, Irina Luzko2024arxiv 2409.10286
Class Knowledge Overlay to Visual Feature Learning for Zero-Shot Image ClassificationCheng Xie, Ting Zeng, Hongxin Xiang2021arxiv 2102.13322
Augmenting Supervised Neural Networks with Unsupervised Objectives for Large-scale Image ClassificationYuting Zhang, Kibok Lee, Honglak Lee2016arxiv 1606.06582
Learning Spatial Regularization with Image-level Supervisions for Multi-label Image ClassificationFeng Zhu, Hongsheng Li, Wanli Ouyang2017arxiv 1702.05891
Parallel Proportional Fusion of Spiking Quantum Neural Network for Optimizing Image ClassificationZuyu Xu, Kang Shen, Pengnian Cai2024arxiv 2404.01359
SGNet: A Super-class Guided Network for Image Classification and Object DetectionKaidong Li, Nina Y. Wang, Yiju Yang2021arxiv 2104.12898
Cross-Modal Mapping: Mitigating the Modality Gap for Few-Shot Image ClassificationXi Yang, Pai Peng, Wulin Xie2024arxiv 2412.20110
A Saccade-inspired Approach to Image Classification using Vision Transformer Attention MapsMatthis Dallain, Laurent Rodriguez, Laurent Udo Perrinet2026arxiv 2603.09613
UtVAA: Ultra-tiny Vision Transformer with Affix Attention for Mobile Image ClassificationRomiyal George, Sathiyamohan Nishankar, Selvarajah Thuseethan2026arxiv 2606.14735
Forged Image Detection using SOTA Image Classification Deep Learning Methods for Image Forensics with Error Level AnalysisRaunak Joshi, Abhishek Gupta, Nandan Kanvinde2022arxiv 2211.15196
Efficient Active Learning for Image Classification and Segmentation using a Sample Selection and Conditional Generative Adversarial NetworkDwarikanath Mahapatra, Behzad Bozorgtabar, Jean-Philippe Thiran2018arxiv 1806.05473
Towards Few-Annotation Learning in Computer Vision: Application to Image Classification and Object Detection tasksQuentin Bouniot2023arxiv 2311.04888
Learning CNN filters from user-drawn image markers for coconut-tree image classificationItalos Estilon de Souza, Alexandre Xavier Falcão2020arxiv 2008.03549
Learn like a Pathologist: Curriculum Learning by Annotator Agreement for Histopathology Image ClassificationJerry Wei, Arief Suriawinata, Bing Ren2020arxiv 2009.13698
Deep Learning Benchmarks and Datasets for Social Media Image Classification for Disaster ResponseFiroj Alam, Ferda Ofli, Muhammad Imran2020arxiv 2011.08916
Saliency-guided and Patch-based Mixup for Long-tailed Skin Cancer Image ClassificationTianyunxi Wei, Yijin Huang, Li Lin2024arxiv 2406.10801
Image classification based on support vector machine and the fusion of complementary featuresHuilin Gao, Wenjie Chen, Lihua Dou2015arxiv 1511.01706