Research

Papers for “image classification”

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

Title	Authors	Year	Source
Robust and Efficient Single-Pixel Image Classificationwith Nonlinear Optics	Santosh Kumar, Ting Bu, He Zhang	2021	arxiv 2101.11696
Lightweight Image Classification of Raptor Species for Edge Devices: Rare-Species Dataset Expansion via Video Frame Extraction, Knowledge Distillation, and TensorRT Deployment	Takeshi Nishikawa	2026	arxiv 2607.26238
Denoising and Optical and SAR Image Classifications Based on Feature Extraction and Sparse Representation	Battula Balnarsaiah, G Rajitha	2021	arxiv 2106.01896
Complementary Roles of Image Classification and Vessel Segmentation in AI-Based Screening for Retinopathy of Prematurity Plus Disease in a Kenyan Preterm Cohort	Fred Mutisya, Oscar Onyango, Sarah Sitati	2026	arxiv 2607.05825
Using Wavelets and Spectral Methods to Study Patterns in Image-Classification Datasets	Roozbeh Yousefzadeh, Furong Huang	2020	arxiv 2006.09879
Using Wavelets to Analyze Similarities in Image-Classification Datasets	Roozbeh Yousefzadeh	2020	arxiv 2002.10257
Why do CNNs excel at feature extraction? A mathematical explanation	Vinoth Nandakumar, Arush Tagade, Tongliang Liu	2023	arxiv 2307.00919
DetNet: A Backbone network for Object Detection	Zeming Li, Chao Peng, Gang Yu	2018	arxiv 1804.06215
A Classification Leveraged Object Detector	Miao Sun, Tony X. Han, Zhihai He	2016	arxiv 1604.01841
Out-of-distribution Generalization via Partial Feature Decorrelation	Xin Guo, Zhengxu Yu, Chao Xiang	2020	arxiv 2007.15241
A Classifier-guided Approach for Top-down Salient Object Detection	Hisham Cholakkal, Jubin Johnson, Deepu Rajan	2016	arxiv 1604.06570
Robustness Of Saak Transform Against Adversarial Attacks	Thiyagarajan Ramanathan, Abinaya Manimaran, Suya You	2019	arxiv 1902.02826
MBInception: A new Multi-Block Inception Model for Enhancing Image Processing Efficiency	Fatemeh Froughirad, Reza Bakhoda Eshtivani, Hamed Khajavi	2024	arxiv 2412.13703
NP-Match: Towards a New Probabilistic Model for Semi-Supervised Learning	Jianfeng Wang, Xiaolin Hu, Thomas Lukasiewicz	2023	arxiv 2301.13569
Self-Supervised Representation Learning on Document Images	Adrian Cosma, Mihai Ghidoveanu, Michael Panaitescu-Liess	2020	arxiv 2004.10605
Deep convolutional Gaussian processes	Kenneth Blomqvist, Samuel Kaski, Markus Heinonen	2018	arxiv 1810.03052
Distributed Transfer Learning with 4th Gen Intel Xeon Processors	Lakshmi Arunachalam, Fahim Mohammad, Vrushabh H. Sanghavi	2023	arxiv 2310.06916
Image Analysis Based on Nonnegative/Binary Matrix Factorization	Hinako Asaoka, Kazue Kudo	2020	arxiv 2007.00889
CleanNet: Transfer Learning for Scalable Image Classifier Training with Label Noise	Kuang-Huei Lee, Xiaodong He, Lei Zhang	2017	arxiv 1711.07131
Distilling Visual Priors from Self-Supervised Learning	Bingchen Zhao, Xin Wen	2020	arxiv 2008.00261

Search results