Loading the SOTA2 catalog…
SOTA2 Research · papers
Find papers, implementations, and the benchmark evidence behind state-of-the-art AI systems.
| Xiangyong Cao, Feng Zhou, Lin Xu |
| 2017 |
| arxiv 1705.00727 |
| Modified Diversity of Class Probability Estimation Co-training for Hyperspectral Image Classification | Yan Ju, Lingling Li, Licheng Jiao | 2018 | arxiv 1809.01436 |
|---|
| Adversarial Explanations for Understanding Image Classification Decisions and Improved Neural Network Robustness | Walt Woods, Jack Chen, Christof Teuscher | 2019 | arxiv 1906.02896 |
|---|
| End-to-end training of deep kernel map networks for image classification | Mingyuan Jiu, Hichem Sahbi | 2020 | arxiv 2006.15088 |
|---|
| AMC-Loss: Angular Margin Contrastive Loss for Improved Explainability in Image Classification | Hongjun Choi, Anirudh Som, Pavan Turaga | 2020 | arxiv 2004.09805 |
|---|
| Hyperspectral Image Classification with Spatial Consistence Using Fully Convolutional Spatial Propagation Network | Yenan Jiang, Ying Li, Shanrong Zou | 2020 | arxiv 2008.01421 |
|---|
| Synthetic Augmentation and Feature-based Filtering for Improved Cervical Histopathology Image Classification | Yuan Xue, Qianying Zhou, Jiarong Ye | 2019 | arxiv 1907.10655 |
|---|
| Generating Relevant Counter-Examples from a Positive Unlabeled Dataset for Image Classification | Florent Chiaroni, Ghazaleh Khodabandelou, Mohamed-Cherif Rahal | 2019 | arxiv 1910.01968 |
|---|
| Hyperspectral Image Classification-Traditional to Deep Models: A Survey for Future Prospects | Muhammad Ahmad, Sidrah Shabbir, Swalpa Kumar Roy | 2021 | arxiv 2101.06116 |
|---|
| ESW Edge-Weights : Ensemble Stochastic Watershed Edge-Weights for Hyperspectral Image Classification | Rohan Agarwal, Aman Aziz, Aditya Suraj Krishnan | 2022 | arxiv 2202.13502 |
|---|
| Unsupervised Domain Adaptation Using Feature Disentanglement And GCNs For Medical Image Classification | Dwarikanath Mahapatra | 2022 | arxiv 2206.13123 |
|---|