Research

Papers for “image classification”

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

Title	Authors	Year	Source
TransMIL: Transformer based Correlated Multiple Instance Learning for Whole Slide Image Classification	Zhuchen Shao, Hao Bian, Yang Chen	2021	arxiv 2106.00908
3D-ANAS: 3D Asymmetric Neural Architecture Search for Fast Hyperspectral Image Classification	Haokui Zhang, Chengrong Gong, Yunpeng Bai	2021	arxiv 2101.04287
Cluster-CAM: Cluster-Weighted Visual Interpretation of CNNs' Decision in Image Classification	Zhenpeng Feng, Hongbing Ji, Milos Dakovic	2023	arxiv 2302.01642
Exploring Visual Prompts for Whole Slide Image Classification with Multiple Instance Learning	Yi Lin, Zhongchen Zhao, Zhengjie ZHU	2023	arxiv 2303.13122
Histopathological Image Classification based on Self-Supervised Vision Transformer and Weak Labels	Ahmet Gokberk Gul, Oezdemir Cetin, Christoph Reich	2022	arxiv 2210.09021
TPMIL: Trainable Prototype Enhanced Multiple Instance Learning for Whole Slide Image Classification	Litao Yang, Deval Mehta, Sidong Liu	2023	arxiv 2305.00696
Sanity checks and improvements for patch visualisation in prototype-based image classification	Romain Xu-Darme, Georges Quénot, Zakaria Chihani	2023	arxiv 2302.08508
Transformer-based Multi-Modal Learning for Multi Label Remote Sensing Image Classification	David Hoffmann, Kai Norman Clasen, Begüm Demir	2023	arxiv 2306.01523
ASU-CNN: An Efficient Deep Architecture for Image Classification and Feature Visualizations	Jamshaid Ul Rahman, Faiza Makhdoom, Dianchen Lu	2023	arxiv 2305.19146
Hyperspectral Image Classification with Markov Random Fields and a Convolutional Neural Network	Xiangyong Cao, Feng Zhou, Lin Xu	2017	arxiv 1705.00727
Modified Diversity of Class Probability Estimation Co-training for Hyperspectral Image Classification	Yan Ju, Lingling Li, Licheng Jiao	2018	arxiv 1809.01436
Adversarial Explanations for Understanding Image Classification Decisions and Improved Neural Network Robustness	Walt Woods, Jack Chen, Christof Teuscher	2019	arxiv 1906.02896
End-to-end training of deep kernel map networks for image classification	Mingyuan Jiu, Hichem Sahbi	2020	arxiv 2006.15088
AMC-Loss: Angular Margin Contrastive Loss for Improved Explainability in Image Classification	Hongjun Choi, Anirudh Som, Pavan Turaga	2020	arxiv 2004.09805
Hyperspectral Image Classification with Spatial Consistence Using Fully Convolutional Spatial Propagation Network	Yenan Jiang, Ying Li, Shanrong Zou	2020	arxiv 2008.01421
Synthetic Augmentation and Feature-based Filtering for Improved Cervical Histopathology Image Classification	Yuan Xue, Qianying Zhou, Jiarong Ye	2019	arxiv 1907.10655
Generating Relevant Counter-Examples from a Positive Unlabeled Dataset for Image Classification	Florent Chiaroni, Ghazaleh Khodabandelou, Mohamed-Cherif Rahal	2019	arxiv 1910.01968
Hyperspectral Image Classification-Traditional to Deep Models: A Survey for Future Prospects	Muhammad Ahmad, Sidrah Shabbir, Swalpa Kumar Roy	2021	arxiv 2101.06116
ESW Edge-Weights : Ensemble Stochastic Watershed Edge-Weights for Hyperspectral Image Classification	Rohan Agarwal, Aman Aziz, Aditya Suraj Krishnan	2022	arxiv 2202.13502
Unsupervised Domain Adaptation Using Feature Disentanglement And GCNs For Medical Image Classification	Dwarikanath Mahapatra	2022	arxiv 2206.13123

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