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SOTA2 Research · papers
Find papers, implementations, and the benchmark evidence behind state-of-the-art AI systems.
| Berkan Demirel, Ramazan Gokberk Cinbis, Nazli Ikizler-Cinbis |
| 2019 |
| arxiv 1908.00047 |
| Robust Adversarial Perturbation on Deep Proposal-based Models | Yuezun Li, Daniel Tian, Ming-Ching Chang | 2018 | arxiv 1809.05962 |
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| Learning Spatial Fusion for Single-Shot Object Detection | Songtao Liu, Di Huang, Yunhong Wang | 2019 | arxiv 1911.09516 |
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| Simple Pose: Rethinking and Improving a Bottom-up Approach for Multi-Person Pose Estimation | Jia Li, Wen Su, Zengfu Wang | 2019 | arxiv 1911.10529 |
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| Generalized Few-Shot Semantic Segmentation: All You Need is Fine-Tuning | Josh Myers-Dean, Yinan Zhao, Brian Price | 2021 | arxiv 2112.10982 |
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| Pix2seq: A Language Modeling Framework for Object Detection | Ting Chen, Saurabh Saxena, Lala Li | 2021 | arxiv 2109.10852 |
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| CMT-DeepLab: Clustering Mask Transformers for Panoptic Segmentation | Qihang Yu, Huiyu Wang, Dahun Kim | 2022 | arxiv 2206.08948 |
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| Learning to embed semantic similarity for joint image-text retrieval | Noam Malali, Yosi Keller | 2022 | arxiv 2210.03838 |
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| Efficient Masked Attention Transformer for Few-Shot Classification and Segmentation | Dustin Carrión-Ojeda, Stefan Roth, Simone Schaub-Meyer | 2025 | arxiv 2507.23642 |
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| TraDiffusion: Trajectory-Based Training-Free Image Generation | Mingrui Wu, Oucheng Huang, Jiayi Ji | 2024 | arxiv 2408.09739 |
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