Research

Papers for “image classification”

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

Title	Authors	Year	Source
WHU-Hi: UAV-borne hyperspectral with high spatial resolution (H2) benchmark datasets for hyperspectral image classification	Xin Hu, Yanfei Zhong, Chang Luo	2020	arxiv 2012.13920
Exploring the Unexplored: Understanding the Impact of Layer Adjustments on Image Classification	Haixia Liu, Tim Brailsford, James Goulding	2024	arxiv 2401.14236
Towards Effective Codebookless Model for Image Classification	Qilong Wang, Peihua Li, Lei Zhang	2015	arxiv 1507.02385
Visual Confusion Label Tree For Image Classification	Yuntao Liu, Yong Dou, Ruochun Jin	2019	arxiv 1906.02012
Hyperspectral Image Classification with Attention Aided CNNs	Renlong Hang, Zhu Li, Qingshan Liu	2020	arxiv 2005.11977
Polarimetric Convolutional Network for PolSAR Image Classification	Xu Liu, Licheng Jiao, Xu Tang	2018	arxiv 1807.02975
Spatially Attentive Output Layer for Image Classification	Ildoo Kim, Woonhyuk Baek, Sungwoong Kim	2020	arxiv 2004.07570
Image edge enhancement for effective image classification	Tianhao Bu, Michalis Lazarou, Tania Stathaki	2024	arxiv 2401.07028
Latent Enhancing AutoEncoder for Occluded Image Classification	Ketan Kotwal, Tanay Deshmukh, Preeti Gopal	2024	arxiv 2402.06936
Understanding Silent Failures in Medical Image Classification	Till J. Bungert, Levin Kobelke, Paul F. Jaeger	2023	arxiv 2307.14729
Physically Explainable CNN for SAR Image Classification	Zhongling Huang, Xiwen Yao, Ying Liu	2021	arxiv 2110.14144
PCCT: Progressive Class-Center Triplet Loss for Imbalanced Medical Image Classification	Kanghao Chen, Weixian Lei, Rong Zhang	2022	arxiv 2207.04793
Magnification-independent Histopathological Image Classification with Similarity-based Multi-scale Embeddings	Yibao Sun, Xingru Huang, Yaqi Wang	2021	arxiv 2107.01063
SASP: Strip-Aware Spatial Perception for Fine-Grained Bird Image Classification	Zheng Wang	2025	arxiv 2505.24380
A Novel Multi-Attention Driven System For Multi-Label Remote Sensing Image Classification	Gencer Sumbul, Begüm Demir	2019	arxiv 1902.11274
A CNN with Noise Inclined Module and Denoise Framework for Hyperspectral Image Classification	Zhiqiang Gong, Ping Zhong, Jiahao Qi	2022	arxiv 2205.12459
Compact & Capable: Harnessing Graph Neural Networks and Edge Convolution for Medical Image Classification	Aryan Singh, Pepijn Van de Ven, Ciarán Eising	2023	arxiv 2307.12790
Integrating Large Language Models and Graph Convolutional Networks for Semi-Supervised Image Classification	Camila Piscioneri Magalhães, Lucas Pascotti Valem	2026	arxiv 2607.09104
Onboard Satellite Image Classification for Earth Observation: A Comparative Study of ViT Models	Thanh-Dung Le, Vu Nguyen Ha, Ti Ti Nguyen	2024	arxiv 2409.03901
Better Self-training for Image Classification through Self-supervision	Attaullah Sahito, Eibe Frank, Bernhard Pfahringer	2021	arxiv 2109.00778

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