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SOTA2 Research · papers
Find papers, implementations, and the benchmark evidence behind state-of-the-art AI systems.
| arxiv 2308.02668 |
| Generalized Mask-aware IoU for Anchor Assignment for Real-time Instance Segmentation | Bar\iş Can Çam, Kemal Öksüz, Fehmi Kahraman | 2023 | arxiv 2312.17031 |
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| VisIT-Bench: A Benchmark for Vision-Language Instruction Following Inspired by Real-World Use | Yonatan Bitton, Hritik Bansal, Jack Hessel | 2023 | arxiv 2308.06595 |
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| Fast-iTPN: Integrally Pre-Trained Transformer Pyramid Network with Token Migration | Yunjie Tian, Lingxi Xie, Jihao Qiu | 2022 | arxiv 2211.12735 |
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| Unlocking Pre-trained Image Backbones for Semantic Image Synthesis | Tariq Berrada, Jakob Verbeek, Camille Couprie | 2023 | arxiv 2312.13314 |
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| Spatial Semantic Regularisation for Large Scale Object Detection | Damian Mrowca, Marcus Rohrbach, Judy Hoffman | 2015 | arxiv 1510.02949 |
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| Show and Tell: A Neural Image Caption Generator | Oriol Vinyals, Alexander Toshev, Samy Bengio | 2014 | arxiv 1411.4555 |
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| Scalable, High-Quality Object Detection | Christian Szegedy, Scott Reed, Dumitru Erhan | 2014 | arxiv 1412.1441 |
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| Learning to generalize to new compositions in image understanding | Yuval Atzmon, Jonathan Berant, Vahid Kezami | 2016 | arxiv 1608.07639 |
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| An Image Dataset of Text Patches in Everyday Scenes | Ahmed Ibrahim, A. Lynn Abbott, Mohamed E. Hussein | 2016 | arxiv 1610.06494 |
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| Zoom Out-and-In Network with Recursive Training for Object Proposal | Hongyang Li, Yu Liu, Wanli Ouyang | 2017 | arxiv 1702.05711 |
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