Research

Papers for “image classification”

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

Title	Authors	Year	Source
A Consensual Collaborative Learning Method for Remote Sensing Image Classification Under Noisy Multi-Labels	Ahmet Kerem Aksoy, Mahdyar Ravanbakhsh, Tristan Kreuziger	2021	arxiv 2105.05496
BEL: A Bag Embedding Loss for Transformer enhances Multiple Instance Whole Slide Image Classification	Daniel Sens, Ario Sadafi, Francesco Paolo Casale	2023	arxiv 2303.01377
On Fairness of Medical Image Classification with Multiple Sensitive Attributes via Learning Orthogonal Representations	Wenlong Deng, Yuan Zhong, Qi Dou	2023	arxiv 2301.01481
Extracting the Brain-like Representation by an Improved Self-Organizing Map for Image Classification	Jiahong Zhang, Lihong Cao, Moning Zhang	2023	arxiv 2303.09035
Exploring Regions of Interest: Visualizing Histological Image Classification for Breast Cancer using Deep Learning	Imane Nedjar, Mohammed Brahimi, Said Mahmoudi	2023	arxiv 2305.20058
Learning From Less Data: Diversified Subset Selection and Active Learning in Image Classification Tasks	Vishal Kaushal, Anurag Sahoo, Khoshrav Doctor	2018	arxiv 1805.11191
DeepConsensus: using the consensus of features from multiple layers to attain robust image classification	Yuchen Li, Safwan Hossain, Kiarash Jamali	2018	arxiv 1811.07266
HACT-Net: A Hierarchical Cell-to-Tissue Graph Neural Network for Histopathological Image Classification	Pushpak Pati, Guillaume Jaume, Lauren Alisha Fernandes	2020	arxiv 2007.00584
Webly Supervised Image Classification with Metadata: Automatic Noisy Label Correction via Visual-Semantic Graph	Jingkang Yang, Weirong Chen, Litong Feng	2020	arxiv 2010.05864
Effective training of deep convolutional neural networks for hyperspectral image classification through artificial labeling	Wojciech Masarczyk, Przemys\law G\lomb, Bartosz Grabowski	2019	arxiv 1909.05507
A Multi-resolution Model for Histopathology Image Classification and Localization with Multiple Instance Learning	Jiayun Li, Wenyuan Li, Anthony Sisk	2020	arxiv 2011.02679
The Achievement of Higher Flexibility in Multiple Choice-based Tests Using Image Classification Techniques	Mahmoud Afifi, Khaled F. Hussain	2017	arxiv 1711.00972
Fine-grained Image Classification and Retrieval by Combining Visual and Locally Pooled Textual Features	Andres Mafla, Sounak Dey, Ali Furkan Biten	2020	arxiv 2001.04732
SiaTrans: Siamese Transformer Network for RGB-D Salient Object Detection with Depth Image Classification	Xingzhao Jia, Dongye Changlei, Yanjun Peng	2022	arxiv 2207.04224
Distribution Learning Based on Evolutionary Algorithm Assisted Deep Neural Networks for Imbalanced Image Classification	Yudi Zhao, Kuangrong Hao, Chaochen Gu	2022	arxiv 2207.12744
Greybox XAI: a Neural-Symbolic learning framework to produce interpretable predictions for image classification	Adrien Bennetot, Gianni Franchi, Javier Del Ser	2022	arxiv 2209.14974
Dual-frequency Selected Knowledge Distillation with Statistical-based Sample Rectification for PolSAR Image Classification	Xinyue Xin, Ming Li, Yan Wu	2025	arxiv 2507.03268
SAC-MIL: Spatial-Aware Correlated Multiple Instance Learning for Histopathology Whole Slide Image Classification	Yu Bai, Zitong Yu, Haowen Tian	2025	arxiv 2509.03973
Assessing The Impact of CNN Auto Encoder-Based Image Denoising on Image Classification Tasks	Mohsen Hami, Mahdi JameBozorg	2024	arxiv 2404.10664
Pathology-knowledge Enhanced Multi-instance Prompt Learning for Few-shot Whole Slide Image Classification	Linhao Qu, Dingkang Yang, Dan Huang	2024	arxiv 2407.10814

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