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Papers for “image classification”

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

TitleAuthorsYearSource
Hybrid Feature Collaborative Reconstruction Network for Few-Shot Fine-Grained Image ClassificationShulei Qiu, Wanqi Yang, Ming Yang2024arxiv 2407.02123
HSVLT: Hierarchical Scale-Aware Vision-Language Transformer for Multi-Label Image ClassificationShuyi Ouyang, Hongyi Wang, Ziwei Niu2024arxiv 2407.16244
Bi-directional Feature Reconstruction Network for Fine-Grained Few-Shot Image ClassificationJijie Wu, Dongliang Chang, Aneeshan Sain2022arxiv 2211.17161
CVM-Cervix: A Hybrid Cervical Pap-Smear Image Classification Framework Using CNN, Visual Transformer and Multilayer PerceptronWanli Liu, Chen Li, Ning Xu2022arxiv 2206.00971
Enhanced Image Classification With Data Augmentation Using Position CoordinatesAvinash Kori, Ganapathy Krishnamurthi, Balaji Srinivasan2018arxiv 1802.02183
Fine-Grained Scene Image Classification with Modality-Agnostic AdapterYiqun Wang, Zhao Zhou, Xiangcheng Du2024arxiv 2407.02769
DEPICT: Diffusion-Enabled Permutation Importance for Image Classification TasksSarah Jabbour, Gregory Kondas, Ella Kazerooni2024arxiv 2407.14509
Transformers Fusion across Disjoint Samples for Hyperspectral Image ClassificationMuhammad Ahmad, Manuel Mazzara, Salvatore Distifano2024arxiv 2405.01095
Robust image classification with multi-modal large language modelsFrancesco Villani, Igor Maljkovic, Dario Lazzaro2024arxiv 2412.10353
Graph Attention Transformer Network for Multi-Label Image ClassificationJin Yuan, Shikai Chen, Yao Zhang2022arxiv 2203.04049
Automatic Discovery and Optimization of Parts for Image ClassificationSobhan Naderi Parizi, Andrea Vedaldi, Andrew Zisserman2014arxiv 1412.6598
Object-Level Representation Learning for Few-Shot Image ClassificationLiangqu Long, Wei Wang, Jun Wen2018arxiv 1805.10777
Few-Shot Histopathology Image Classification: Evaluating State-of-the-Art Methods and Unveiling Performance InsightsArdhendu Sekhar, Ravi Kant Gupta, Amit Sethi2024arxiv 2408.13816
Test-Time Mixup Augmentation for Data and Class-Specific Uncertainty Estimation in Deep Learning Image ClassificationHansang Lee, Haeil Lee, Helen Hong2022arxiv 2212.00214
Current Trends in Deep Learning for Earth Observation: An Open-source Benchmark Arena for Image ClassificationIvica Dimitrovski, Ivan Kitanovski, Dragi Kocev2022arxiv 2207.07189
SLT: Robust Quantum Neural Networks for Noisy-Label Medical Image Classification via Supermartingale-based Label TransitionJun Zhuang, Mohammad Al Hasan, Yiyu Shi2026arxiv 2607.16293
BraidNet: procedural generation of neural networks for image classification problems using braid theoryOlga Lukyanova, Oleg Nikitin, Alex Kunin2021arxiv 2104.10010
SpectralMamba: Efficient Mamba for Hyperspectral Image ClassificationJing Yao, Danfeng Hong, Chenyu Li2024arxiv 2404.08489
Decoupled Data Augmentation for Improving Image ClassificationRuoxin Chen, Zhe Wang, Ke-Yue Zhang2024arxiv 2411.02592
Combating Noisy Labels in Long-Tailed Image ClassificationChaowei Fang, Lechao Cheng, Huiyan Qi2022arxiv 2209.00273