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
Learning Representations For Images With Hierarchical Labels	Ankit Dhall	2020	arxiv 2004.00909
Joint Modeling of Chest Radiographs and Radiology Reports for Pulmonary Edema Assessment	Geeticka Chauhan, Ruizhi Liao, William Wells	2020	arxiv 2008.09884
Using learned optimizers to make models robust to input noise	Luke Metz, Niru Maheswaranathan, Jonathon Shlens	2019	arxiv 1906.03367
Learning with Hierarchical Complement Objective	Hao-Yun Chen, Li-Huang Tsai, Shih-Chieh Chang	2019	arxiv 1911.07257
Black Box Explanation by Learning Image Exemplars in the Latent Feature Space	Riccardo Guidotti, Anna Monreale, Stan Matwin	2020	arxiv 2002.03746
A Spectral Nonlocal Block for Neural Networks	Lei Zhu, Qi She, Lidan Zhang	2019	arxiv 1911.01059
Divergence Regulated Encoder Network for Joint Dimensionality Reduction and Classification	Joshua Peeples, Sarah Walker, Connor McCurley	2020	arxiv 2012.15764
Neural Architecture Adaptation for Object Detection by Searching Channel Dimensions and Mapping Pre-trained Parameters	Harim Jung, Myeong-Seok Oh, Cheoljong Yang	2022	arxiv 2206.08509
Contrastive Deep Supervision	Linfeng Zhang, Xin Chen, Junbo Zhang	2022	arxiv 2207.05306
DiT: Self-supervised Pre-training for Document Image Transformer	Junlong Li, Yiheng Xu, Tengchao Lv	2022	arxiv 2203.02378
Discriminability-Transferability Trade-Off: An Information-Theoretic Perspective