Research

Papers for “image classification”

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

Title	Authors	Year	Source
PolSF: PolSAR image dataset on San Francisco	Xu Liu, Licheng Jiao, Fang Liu	2019	arxiv 1912.07259
Image Analytics for Legal Document Review: A Transfer Learning Approach	Nathaniel Huber-Fliflet, Fusheng Wei, Haozhen Zhao	2019	arxiv 1912.12169
Optimized Generic Feature Learning for Few-shot Classification across Domains	Tonmoy Saikia, Thomas Brox, Cordelia Schmid	2020	arxiv 2001.07926
Deep Autoencoder Model Construction Based on Pytorch	Junan Pan, Zhihao Zhao	2022	arxiv 2208.08231
A Model-Agnostic SAT-based Approach for Symbolic Explanation Enumeration	Ryma Boumazouza, Fahima Cheikh-Alili, Bertrand Mazure	2022	arxiv 2206.11539
On the interplay of adversarial robustness and architecture components: patches, convolution and attention	Francesco Croce, Matthias Hein	2022	arxiv 2209.06953
On the Adversarial Transferability of ConvMixer Models	Ryota Iijima, Miki Tanaka, Isao Echizen	2022	arxiv 2209.08724
Kernel Spectral Clustering	Ilaria Giulini	2016	arxiv 1606.06519
Detec\c{c}\~ao da Psor\'iase Utilizando Vis\~ao Computacional: Uma Abordagem Comparativa Entre CNNs e Vision Transformers	Natanael Lucena, Fábio S. da Silva, Ricardo Rios	2025	arxiv 2506.10119
Object-Centric Cropping for Visual Few-Shot Classification	Aymane Abdali, Bartosz Boguslawski, Lucas Drumetz	2025	arxiv 2508.00218
Efficient Feature Compression for Edge-Cloud Systems	Zhihao Duan, Fengqing Zhu	2022	arxiv 2211.09897
A Novel Convolutional Neural Network Architecture with a Continuous Symmetry	Yao Liu, Hang Shao, Bing Bai	2023	arxiv 2308.01621
Identify Apple Leaf Diseases Using Deep Learning Algorithm	Daping Zhang, Hongyu Yang, Jiayu Cao	2021	arxiv 2107.12598
YOLO -- You only look 10647 times	Christian Limberg, Andrew Melnik, Augustin Harter	2022	arxiv 2201.06159
UltraUPConvNet: A UPerNet- and ConvNeXt-Based Multi-Task Network for Ultrasound Tissue Segmentation and Disease Prediction	Zhi Chen, Le Zhang	2025	arxiv 2509.11108
Unsupervised Class-Incremental Learning Through Confusion	Shivam Khare, Kun Cao, James Rehg	2021	arxiv 2104.04450
One-Shot Learning for Semantic Segmentation	Amirreza Shaban, Shray Bansal, Zhen Liu	2017	arxiv 1709.03410
Bayesian posterior approximation with stochastic ensembles	Oleksandr Balabanov, Bernhard Mehlig, Hampus Linander	2022	arxiv 2212.08123
Efficient Fine-Tuning with Domain Adaptation for Privacy-Preserving Vision Transformer	Teru Nagamori, Sayaka Shiota, Hitoshi Kiya	2024	arxiv 2401.05126
Contrastive Learning for Regression on Hyperspectral Data	Mohamad Dhaini, Maxime Berar, Paul Honeine	2024	arxiv 2403.17014

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