Research

Papers for “image classification”

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

Title	Authors	Year	Source
Data downlink prioritization using image classification on-board a 6U CubeSat	Keenan A. A. Chatar, Ezra Fielding, Kei Sano	2024	arxiv 2408.14865
Objective Evaluation-based High-efficiency Learning Framework for Hyperspectral Image Classification	Xuming Zhang, Jian Yan, Jia Tian	2023	arxiv 2302.05297
Towards Human-Interpretable Prototypes for Visual Assessment of Image Classification Models	Poulami Sinhamahapatra, Lena Heidemann, Maureen Monnet	2022	arxiv 2211.12173
Single-source Domain Expansion Network for Cross-Scene Hyperspectral Image Classification	Yuxiang Zhang, Wei Li, Weidong Sun	2022	arxiv 2209.01634
CIFAKE: Image Classification and Explainable Identification of AI-Generated Synthetic Images	Jordan J. Bird, Ahmad Lotfi	2023	arxiv 2303.14126
Semantic Guided Level-Category Hybrid Prediction Network for Hierarchical Image Classification	Peng Wang, Jingzhou Chen, Yuntao Qian	2022	arxiv 2211.12277
Vision Transformer for Efficient Chest X-ray and Gastrointestinal Image Classification	Smriti Regmi, Aliza Subedi, Ulas Bagci	2023	arxiv 2304.11529
FCA: Taming Long-tailed Federated Medical Image Classification by Classifier Anchoring	Jeffry Wicaksana, Zengqiang Yan, Kwang-Ting Cheng	2023	arxiv 2305.00738
DCN-T: Dual Context Network with Transformer for Hyperspectral Image Classification	Di Wang, Jing Zhang, Bo Du	2023	arxiv 2304.09915
Directional Statistics-based Deep Metric Learning for Image Classification and Retrieval	Xuefei Zhe, Shifeng Chen, Hong Yan	2018	arxiv 1802.09662
Benchmarks for Image Classification and Other High-dimensional Pattern Recognition Problems	Tarun Yellamraju, Jonas Hepp, Mireille Boutin	2018	arxiv 1806.05272
Two-Stage Convolutional Neural Network for Breast Cancer Histology Image Classification	Kamyar Nazeri, Azad Aminpour, Mehran Ebrahimi	2018	arxiv 1803.04054
Vulnerability Analysis of Chest X-Ray Image Classification Against Adversarial Attacks	Saeid Asgari Taghanaki, Arkadeep Das, Ghassan Hamarneh	2018	arxiv 1807.02905
Shorten Spatial-spectral RNN with Parallel-GRU for Hyperspectral Image Classification	Haowen Luo	2018	arxiv 1810.12563
Structured Binary Neural Networks for Accurate Image Classification and Semantic Segmentation	Bohan Zhuang, Chunhua Shen, Mingkui Tan	2018	arxiv 1811.10413
Generative Adversarial Networks and Conditional Random Fields for Hyperspectral Image Classification	Zilong Zhong, Jonathan Li, David A. Clausi	2019	arxiv 1905.04621
Locality and Structure Regularized Low Rank Representation for Hyperspectral Image Classification	Qi Wang, Xiange He, Xuelong Li	2019	arxiv 1905.02488
A Convolutional Neural Network with Mapping Layers for Hyperspectral Image Classification	Rui Li, Zhibin Pan, Yang Wang	2019	arxiv 1908.09526
Localized Adversarial Training for Increased Accuracy and Robustness in Image Classification	Eitan Rothberg, Tingting Chen, Luo Jie	2019	arxiv 1909.04779
Training Multiscale-CNN for Large Microscopy Image Classification in One Hour	Kushal Datta, Imtiaz Hossain, Sun Choi	2019	arxiv 1910.04852

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