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
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