Loading the SOTA2 catalog…
SOTA2 Research · papers
Find papers, implementations, and the benchmark evidence behind state-of-the-art AI systems.
| Lukas Folle, Sulaiman Vesal, Nishant Ravikumar |
| 2019 |
| arxiv 1903.09097 |
| Class Balanced PixelNet for Neurological Image Segmentation | Mobarakol Islam, Hongliang Ren | 2022 | arxiv 2204.11048 |
|---|
| On the generalization capabilities of FSL methods through domain adaptation: a case study in endoscopic kidney stone image classification | Mauricio Mendez-Ruiz, Francisco Lopez-Tiro, Jonathan El-Beze | 2022 | arxiv 2205.00895 |
|---|
| Visual Similarity Attention | Meng Zheng, Srikrishna Karanam, Terrence Chen | 2019 | arxiv 1911.07381 |
|---|
| MulT: An End-to-End Multitask Learning Transformer | Deblina Bhattacharjee, Tong Zhang, Sabine Süsstrunk | 2022 | arxiv 2205.08303 |
|---|
| General Adversarial Defense Against Black-box Attacks via Pixel Level and Feature Level Distribution Alignments | Xiaogang Xu, Hengshuang Zhao, Philip Torr | 2022 | arxiv 2212.05387 |
|---|
| Meta Omnium: A Benchmark for General-Purpose Learning-to-Learn | Ondrej Bohdal, Yinbing Tian, Yongshuo Zong | 2023 | arxiv 2305.07625 |
|---|
| TrueDeep: A systematic approach of crack detection with less data | Ram Krishna Pandey, Akshit Achara | 2023 | arxiv 2305.19088 |
|---|
| Spatially-Adaptive Filter Units for Deep Neural Networks | Domen Tabernik, Matej Kristan, Aleš Leonardis | 2017 | arxiv 1711.11473 |
|---|
| Road Extraction by Deep Residual U-Net | Zhengxin Zhang, Qingjie Liu, Yunhong Wang | 2017 | arxiv 1711.10684 |
|---|