Research

Papers for “image classification”

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

Title	Authors	Year	Source
Effectiveness of Optimization Algorithms in Deep Image Classification	Zhaoyang Zhu, Haozhe Sun, Chi Zhang	2021	arxiv 2110.01598
Performance Evaluation of Transfer Learning Based Medical Image Classification Techniques for Disease Detection	Zeeshan Ahmad, Shudi Bao, Meng Chen	2025	arxiv 2512.04397
Review of AlexNet for Medical Image Classification	Wenhao Tang, Junding Sun, Shuihua Wang	2023	arxiv 2311.08655
Image Classification with Hierarchical Multigraph Networks	Boris Knyazev, Xiao Lin, Mohamed R. Amer	2019	arxiv 1907.09000
A Strong Baseline for the VIPriors Data-Efficient Image Classification Challenge	Björn Barz, Lorenzo Brigato, Luca Iocchi	2021	arxiv 2109.13561
Contrastive-Based Deep Embeddings for Label Noise-Resilient Histopathology Image Classification	Lucas Dedieu, Nicolas Nerrienet, Adrien Nivaggioli	2024	arxiv 2404.07605
Interpreting and Analysing CLIP's Zero-Shot Image Classification via Mutual Knowledge	Fawaz Sammani, Nikos Deligiannis	2024	arxiv 2410.13016
What Do You See? Enhancing Zero-Shot Image Classification with Multimodal Large Language Models	Abdelrahman Abdelhamed, Mahmoud Afifi, Alec Go	2024	arxiv 2405.15668
Unleashing the Potential of Open-set Noisy Samples Against Label Noise for Medical Image Classification	Zehui Liao, Shishuai Hu, Yanning Zhang	2024	arxiv 2406.12293
Deep Learning based HEp-2 Image Classification: A Comprehensive Review	Saimunur Rahman, Lei Wang, Changming Sun	2019	arxiv 1911.08916
Visualizing Color-wise Saliency of Black-Box Image Classification Models	Yuhki Hatakeyama, Hiroki Sakuma, Yoshinori Konishi	2020	arxiv 2010.02468
Vision-QRWKV: Exploring Quantum-Enhanced RWKV Models for Image Classification	Chi-Sheng Chen	2025	arxiv 2506.06633
Autonomous Deep Learning: A Genetic DCNN Designer for Image Classification	Benteng Ma, Yong Xia	2018	arxiv 1807.00284
Localized Conformal Prediction for Image Classification with Vision-Language Models	Clément Fuchs, Tim Bary, Benoît Macq	2026	arxiv 2606.31577
Quantitative Analysis of Primary Attribution Explainable Artificial Intelligence Methods for Remote Sensing Image Classification	Akshatha Mohan, Joshua Peeples	2023	arxiv 2306.04037
Graph Convolutional Networks for Hyperspectral Image Classification	Danfeng Hong, Lianru Gao, Jing Yao	2020	arxiv 2008.02457
Local Color Contrastive Descriptor for Image Classification	Sheng Guo, Weilin Huang, Yu Qiao	2015	arxiv 1508.00307
Mitigating Bias in Concept Bottleneck Models for Fair and Interpretable Image Classification	Schrasing Tong, Antoine Salaun, Vincent Yuan	2026	arxiv 2603.05899
Investigating Bias in Image Classification using Model Explanations	Schrasing Tong, Lalana Kagal (1) __INSTITUTION_2__ Massachusetts Institute of Technology)	2020	arxiv 2012.05463
X-ray Scattering Image Classification Using Deep Learning	Boyu Wang, Kevin Yager, Dantong Yu	2016	arxiv 1611.03313

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