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SOTA2 Research · papers
Find papers, implementations, and the benchmark evidence behind state-of-the-art AI systems.
| Gaetan Bahl, Lionel Daniel, Florent Lafarge |
| 2022 |
| arxiv 2202.03784 |
| Revisiting the Loss Weight Adjustment in Object Detection | Wenxin Yu, Xueling Shen, Jiajie Hu | 2021 | arxiv 2103.09488 |
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| Tech Report: One-stage Lightweight Object Detectors | Deokki Hong | 2022 | arxiv 2210.17151 |
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| Open Vocabulary Semantic Segmentation with Patch Aligned Contrastive Learning | Jishnu Mukhoti, Tsung-Yu Lin, Omid Poursaeed | 2022 | arxiv 2212.04994 |
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| F-VLM: Open-Vocabulary Object Detection upon Frozen Vision and Language Models | Weicheng Kuo, Yin Cui, Xiuye Gu | 2022 | arxiv 2209.15639 |
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| DMSA: Dynamic Multi-scale Unsupervised Semantic Segmentation Based on Adaptive Affinity | Kun Yang, Jun Lu | 2023 | arxiv 2303.00199 |
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| Using simulation to quantify the performance of automotive perception systems | Zhenyi Liu, Devesh Shah, Alireza Rahimpour | 2023 | arxiv 2303.00983 |
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| ERNIE-ViLG 2.0: Improving Text-to-Image Diffusion Model with Knowledge-Enhanced Mixture-of-Denoising-Experts | Zhida Feng, Zhenyu Zhang, Xintong Yu | 2022 | arxiv 2210.15257 |
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| Zero-shot Unsupervised Transfer Instance Segmentation | Gyungin Shin, Samuel Albanie, Weidi Xie | 2023 | arxiv 2304.14376 |
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| SuperPoint: Self-Supervised Interest Point Detection and Description | Daniel DeTone, Tomasz Malisiewicz, Andrew Rabinovich | 2017 | arxiv 1712.07629 |
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