SOTA2 Research · papers

Papers for “image classification”

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

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20 indexed

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