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SOTA2 Research · papers
Find papers, implementations, and the benchmark evidence behind state-of-the-art AI systems.
| Efficient Remote Sensing Segmentation With Generative Adversarial Transformer |
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| Luyi Qiu, Dayu Yu, Xiaofeng Zhang |
| 2023 |
| arxiv 2310.01292 |
| An Ensemble of 2.5D ResUnet Based Models for Segmentation for Kidney and Masses | Cancan Chen, RongguoZhang | 2023 | arxiv 2311.15586 |
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| Transformers in Unsupervised Structure-from-Motion | Hemang Chawla, Arnav Varma, Elahe Arani | 2023 | arxiv 2312.10529 |
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| A Task-driven Network for Mesh Classification and Semantic Part Segmentation | Qiujie Dong, Xiaoran Gong, Rui Xu | 2023 | arxiv 2306.05246 |
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| A Linear Approximation to the chi^2 Kernel with Geometric Convergence | Fuxin Li, Guy Lebanon, Cristian Sminchisescu | 2012 | arxiv 1206.4074 |
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| Joint Graph Decomposition and Node Labeling: Problem, Algorithms, Applications | Evgeny Levinkov, Jonas Uhrig, Siyu Tang | 2016 | arxiv 1611.04399 |
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| A Benchmark for Endoluminal Scene Segmentation of Colonoscopy Images | David Vázquez, Jorge Bernal, F. Javier Sánchez | 2016 | arxiv 1612.00799 |
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| Be Careful What You Backpropagate: A Case For Linear Output Activations & Gradient Boosting | Anders Oland, Aayush Bansal, Roger B. Dannenberg | 2017 | arxiv 1707.04199 |
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| Deep GrabCut for Object Selection | Ning Xu, Brian Price, Scott Cohen | 2017 | arxiv 1707.00243 |
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| Boosted Training of Convolutional Neural Networks for Multi-Class Segmentation | Lorenz Berger, Eoin Hyde, Matt Gibb | 2018 | arxiv 1806.05974 |
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