Research

Papers for “image classification”

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

Title	Authors	Year	Source
Multi-Path Learnable Wavelet Neural Network for Image Classification	D.D.N. De Silva, H.W.M.K. Vithanage, K.S.D. Fernando	2019	arxiv 1908.09775
Low-Rank Discriminative Least Squares Regression for Image Classification	Zhe Chen, Xiao-Jun Wu, Josef Kittler	2019	arxiv 1903.07832
Deep Boosting: Layered Feature Mining for General Image Classification	Zhanglin Peng, Liang Lin, Ruimao Zhang	2015	arxiv 1502.00712
Graph Neural Networks for Image Classification and Reinforcement Learning using Graph representations	Naman Goyal, David Steiner	2022	arxiv 2203.03457
Semi-supervised Learning with Graphs: Covariance Based Superpixels For Hyperspectral Image Classification	Philip Sellars, Angelica Aviles-Rivero, Nicolas Papadakis	2019	arxiv 1901.04240
TAI++: Text as Image for Multi-Label Image Classification by Co-Learning Transferable Prompt	Xiangyu Wu, Qing-Yuan Jiang, Yang Yang	2024	arxiv 2405.06926
Test-time Adaptation with Calibration of Medical Image Classification Nets for Label Distribution Shift	Wenao Ma, Cheng Chen, Shuang Zheng	2022	arxiv 2207.00769
CellMix: A General Instance Relationship based Method for Data Augmentation Towards Pathology Image Classification	Tianyi Zhang, Zhiling Yan, Chunhui Li	2023	arxiv 2301.11513
Towards Transfer Learning for Large-Scale Image Classification Using Annealing-based Quantum Boltzmann Machines	Daniëlle Schuman, Leo Sünkel, Philipp Altmann	2023	arxiv 2311.15966
An experimental comparative study of backpropagation and alternatives for training binary neural networks for image classification	Ben Crulis, Barthelemy Serres, Cyril de Runz	2024	arxiv 2408.04460
CLASS-M: Adaptive stain separation-based contrastive learning with pseudo-labeling for histopathological image classification	Bodong Zhang, Hamid Manoochehri, Man Minh Ho	2023	arxiv 2312.06978
ResMLP: Feedforward networks for image classification with data-efficient training	Hugo Touvron, Piotr Bojanowski, Mathilde Caron	2021	arxiv 2105.03404
Cluster-Guided Semi-Supervised Domain Adaptation for Imbalanced Medical Image Classification	Shota Harada, Ryoma Bise, Kengo Araki	2023	arxiv 2303.01283
Impact of Privacy Parameters on Deep Learning Models for Image Classification	Basanta Chaulagain	2024	arxiv 2412.06689
Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps	Karen Simonyan, Andrea Vedaldi, Andrew Zisserman	2013	arxiv 1312.6034
Image classification using collective optical modes of an array of nanolasers	Giulio Tirabassi, Ji Kaiwen, Cristina Masoller	2022	arxiv 2202.05171
Image Classification Using a Diffusion Model as a Pre-Training Model	Kosuke Ukita, Ye Xiaolong, Tsuyoshi Okita	2025	arxiv 2505.06890
Multi-Objective Evolutionary Design of Deep Convolutional Neural Networks for Image Classification	Zhichao Lu, Ian Whalen, Yashesh Dhebar	2019	arxiv 1912.01369
SELECT: A Large-Scale Benchmark of Data Curation Strategies for Image Classification	Benjamin Feuer, Jiawei Xu, Niv Cohen	2024	arxiv 2410.05057
Dynamic 3D KAN Convolution with Adaptive Grid Optimization for Hyperspectral Image Classification	Guandong Li, Mengxia Ye	2025	arxiv 2504.15155

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