Research

Papers for “image classification”

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

Title	Authors	Year	Source
Data-Side Efficiencies for Lightweight Convolutional Neural Networks	Bryan Bo Cao, Lawrence O'Gorman, Michael Coss	2023	arxiv 2308.13057
Two-Step Active Learning for Instance Segmentation with Uncertainty and Diversity Sampling	Ke Yu, Stephen Albro, Giulia DeSalvo	2023	arxiv 2309.16139
KAKURENBO: Adaptively Hiding Samples in Deep Neural Network Training	Truong Thao Nguyen, Balazs Gerofi, Edgar Josafat Martinez-Noriega	2023	arxiv 2310.10102
The Tunnel Effect: Building Data Representations in Deep Neural Networks	Wojciech Masarczyk, Mateusz Ostaszewski, Ehsan Imani	2023	arxiv 2305.19753
PadChannel: Improving CNN Performance through Explicit Padding Encoding	Juho Kim	2023	arxiv 2311.07623
Learning Vision from Models Rivals Learning Vision from Data	Yonglong Tian, Lijie Fan, Kaifeng Chen	2023	arxiv 2312.17742
Enhancing Sharpness-Aware Optimization Through Variance Suppression	Bingcong Li, Georgios B. Giannakis	2023	arxiv 2309.15639
Scaling Deep Networks with the Mesh Adaptive Direct Search algorithm	Dounia Lakhmiri, Mahdi Zolnouri, Vahid Partovi Nia	2023	arxiv 2301.06641
Auto-pooling: Learning to Improve Invariance of Image Features from Image Sequences	Sainbayar Sukhbaatar, Takaki Makino, Kazuyuki Aihara	2013	arxiv 1301.3323
Sensing-Aware Kernel SVM	Weicong Ding, Prakash Ishwar, Venkatesh Saligrama	2013	arxiv 1312.0512
Improving Deep Neural Networks with Probabilistic Maxout Units	Jost Tobias Springenberg, Martin Riedmiller	2013	arxiv 1312.6116
Nonlinear Dimensionality Reduction via Path-Based Isometric Mapping	Amir Najafi, Amir Joudaki, Emad Fatemizadeh	2013	arxiv 1312.0803
Do Convnets Learn Correspondence?	Jonathan Long, Ning Zhang, Trevor Darrell	2014	arxiv 1411.1091
Multi-Instance Visual-Semantic Embedding	Zhou Ren, Hailin Jin, Zhe Lin	2015	arxiv 1512.06963
Understanding How Image Quality Affects Deep Neural Networks	Samuel Dodge, Lina Karam	2016	arxiv 1604.04004
MUST-CNN: A Multilayer Shift-and-Stitch Deep Convolutional Architecture for Sequence-based Protein Structure Prediction	Zeming Lin, Jack Lanchantin, Yanjun Qi	2016	arxiv 1605.03004
ImageNet Large Scale Visual Recognition Challenge	Olga Russakovsky, Jia Deng, Hao Su	2014	arxiv 1409.0575
Feature Representation in Convolutional Neural Networks	Ben Athiwaratkun, Keegan Kang	2015	arxiv 1507.02313
Learning Structured Inference Neural Networks with Label Relations	Hexiang Hu, Guang-Tong Zhou, Zhiwei Deng	2015	arxiv 1511.05616
Compressed Learning: A Deep Neural Network Approach	Amir Adler, Michael Elad, Michael Zibulevsky	2016	arxiv 1610.09615

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