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SOTA2 Research · papers
Find papers, implementations, and the benchmark evidence behind state-of-the-art AI systems.
| 2022 |
| arxiv 2207.00289 |
| A Survey on Deep Learning Technique for Video Segmentation | Tianfei Zhou, Fatih Porikli, David Crandall | 2021 | arxiv 2107.01153 |
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| Cross-Domain Ensemble Distillation for Domain Generalization | Kyungmoon Lee, Sungyeon Kim, Suha Kwak | 2022 | arxiv 2211.14058 |
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| Copy-Pasting Coherent Depth Regions Improves Contrastive Learning for Urban-Scene Segmentation | Liang Zeng, Attila Lengyel, Nergis Tömen | 2022 | arxiv 2211.14074 |
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| Co-training $2^L$ Submodels for Visual Recognition | Hugo Touvron, Matthieu Cord, Maxime Oquab | 2022 | arxiv 2212.04884 |
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| 3D Point Cloud Pre-training with Knowledge Distillation from 2D Images | Yuan Yao, Yuanhan Zhang, Zhenfei Yin | 2022 | arxiv 2212.08974 |
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| Finding a Landing Site on an Urban Area: A Multi-Resolution Probabilistic Approach | Barak Pinkovich, Boaz Matalon, Ehud Rivlin | 2022 | arxiv 2204.12592 |
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| Self-Supervised Learning for Biological Sample Localization in 3D Tomographic Images | Yaroslav Zharov, Alexey Ershov, Tilo Baumbach | 2020 | arxiv 2011.03353 |
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| Deep Learning from Parametrically Generated Virtual Buildings for Real-World Object Recognition | Mohammad Alawadhi, Wei Yan | 2023 | arxiv 2302.05283 |
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| Uncertainty Estimation for 3D Dense Prediction via Cross-Point Embeddings | Kaiwen Cai, Chris Xiaoxuan Lu, Xiaowei Huang | 2022 | arxiv 2209.14602 |
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| Patch n' Pack: NaViT, a Vision Transformer for any Aspect Ratio and Resolution | Mostafa Dehghani, Basil Mustafa, Josip Djolonga | 2023 | arxiv 2307.06304 |
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