Research

Papers for “image classification”

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

Title	Authors	Year	Source
Combining multiscale features for classification of hyperspectral images: a sequence based kernel approach	Yanwei Cui, Laetitia Chapel, Sébastien Lefèvre	2016	arxiv 1606.04985
Unifying Geometric Features and Facial Action Units for Improved Performance of Facial Expression Analysis	Mehdi Ghayoumi, Arvind K Bansal	2016	arxiv 1606.00822
Explaining Predictions of Non-Linear Classifiers in NLP	Leila Arras, Franziska Horn, Grégoire Montavon	2016	arxiv 1606.07298
Fusing Deep Convolutional Networks for Large Scale Visual Concept Classification	Hilal Ergun, Mustafa Sert	2016	arxiv 1608.01866
Generalized BackPropagation, \'{E}tude De Cas: Orthogonality	Mehrtash Harandi, Basura Fernando	2016	arxiv 1611.05927
Convolutional Oriented Boundaries	Kevis-Kokitsi Maninis, Jordi Pont-Tuset, Pablo Arbeláez	2016	arxiv 1608.02755
Deep Multi-view Models for Glitch Classification	Sara Bahaadini, Neda Rohani, Scott Coughlin	2017	arxiv 1705.00034
Contrastive-center loss for deep neural networks	Ce Qi, Fei Su	2017	arxiv 1707.07391
Controlling Participation in Federated Learning with Feedback	Michael Cummins, Guner Dilsad Er, Michael Muehlebach	2024	arxiv 2411.19242
Interpreting the Predictions of Complex ML Models by Layer-wise Relevance Propagation	Wojciech Samek, Grégoire Montavon, Alexander Binder	2016	arxiv 1611.08191
An Overview on Data Representation Learning: From Traditional Feature Learning to Recent Deep Learning	Guoqiang Zhong, Li-Na Wang, Junyu Dong	2016	arxiv 1611.08331
Regularizing Neural Networks by Penalizing Confident Output Distributions	Gabriel Pereyra, George Tucker, Jan Chorowski	2017	arxiv 1701.06548
In-depth Question classification using Convolutional Neural Networks	Prudhvi Raj Dachapally, Srikanth Ramanam	2018	arxiv 1804.00968
Efficient Image Dataset Classification Difficulty Estimation for Predicting Deep-Learning Accuracy	Florian Scheidegger, Roxana Istrate, Giovanni Mariani	2018	arxiv 1803.09588
Tandem Blocks in Deep Convolutional Neural Networks	Chris Hettinger, Tanner Christensen, Jeffrey Humpherys	2018	arxiv 1806.00145
Extreme Network Compression via Filter Group Approximation	Bo Peng, Wenming Tan, Zheyang Li	2018	arxiv 1807.11254
MARVIN: An Open Machine Learning Corpus and Environment for Automated Machine Learning Primitive Annotation and Execution	Chris A. Mattmann, Sujen Shah, Brian Wilson	2018	arxiv 1808.03753
Combinets: Creativity via Recombination of Neural Networks	Matthew Guzdial, Mark O. Riedl	2018	arxiv 1802.03605
Unsupervised predictive coding models may explain visual brain representation	Marcio Fonseca	2019	arxiv 1907.00441
Assessing the Performance of Deep Learning for Automated Gleason Grading in Prostate Cancer	Dominik Müller, Philip Meyer, Lukas Rentschler	2024	arxiv 2403.16695

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