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SOTA2 Research · papers
Find papers, implementations, and the benchmark evidence behind state-of-the-art AI systems.
| Jevgenij Gamper, Nasir Rajpoot |
| 2021 |
| arxiv 2103.05121 |
| Covariance Matrix Adaptation Evolution Strategy Assisted by Principal Component Analysis | Yangjie Mei, Hao Wang | 2021 | arxiv 2105.03687 |
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| Hallucination Improves Few-Shot Object Detection | Weilin Zhang, Yu-Xiong Wang | 2021 | arxiv 2105.01294 |
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| ENACT: Entropy-based Clustering of Attention Input for Reducing the Computational Needs of Object Detection Transformers | Giorgos Savathrakis, Antonis Argyros | 2024 | arxiv 2409.07541 |
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| Test-time Vocabulary Adaptation for Language-driven Object Detection | Mingxuan Liu, Tyler L. Hayes, Massimiliano Mancini | 2025 | arxiv 2506.00333 |
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| Parallel Reasoning Network for Human-Object Interaction Detection | Huan Peng, Fenggang Liu, Yangguang Li | 2023 | arxiv 2301.03510 |
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| G-CAME: Gaussian-Class Activation Mapping Explainer for Object Detectors | Quoc Khanh Nguyen, Truong Thanh Hung Nguyen, Vo Thanh Khang Nguyen | 2023 | arxiv 2306.03400 |
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| Zero-shot Generalizable Incremental Learning for Vision-Language Object Detection | Jieren Deng, Haojian Zhang, Kun Ding | 2024 | arxiv 2403.01680 |
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| VajraV1 -- The most accurate Real Time Object Detector of the YOLO family | Naman Balbir Singh Makkar | 2025 | arxiv 2512.13834 |
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| Autoencoder-based Denoising Defense against Adversarial Attacks on Object Detection | Min Geun Song, Gang Min Kim, Woonmin Kim | 2025 | arxiv 2512.16123 |
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