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
Benchmarking Pathology Feature Extractors for Whole Slide Image Classification	Georg Wölflein, Dyke Ferber, Asier R. Meneghetti	2023	arxiv 2311.11772
Improved Few-Shot Image Classification Through Multiple-Choice Questions	Dipika Khullar, Emmett Goodman, Negin Sokhandan	2024	arxiv 2407.16145
Multi-view metric learning for multi-instance image classification	Dewei Li, Yingjie Tian	2016	arxiv 1610.06671
Quantifying contribution and propagation of error from computational steps, algorithms and hyperparameter choices in image classification pipelines	Aritra Chowdhury, Malik Magdon-Ismail, Bulent Yener	2019	arxiv 1903.00405
On the Efficacy of Differentially Private Few-shot Image Classification	Marlon Tobaben, Aliaksandra Shysheya, John Bronskill	2023	arxiv 2302.01190
Pre-Pruning and Gradient-Dropping Improve Differentially Private Image Classification	Kamil Adamczewski, Yingchen He, Mijung Park	2023	arxiv 2306.11754
Benchmarking Test-Time Adaptation against Distribution Shifts in Image Classification	Yongcan Yu, Lijun Sheng, Ran He	2023	arxiv 2307.03133
Multi-layered Semantic Representation Network for Multi-label Image Classification	Xiwen Qu, Hao Che, Jun Huang	2021	arxiv 2106.11596
Hybrid multi-layer Deep CNN/Aggregator feature for image classification	Praveen Kulkarni, Joaquin Zepeda, Frederic Jurie	2015	arxiv 1503.04065
Active Convolution: Learning the Shape of Convolution for Image Classification