Method Detail: CyclopsNet

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Benchmark: VLMOD
Short name: CyclopsNet
Long name: CyclopsNet
Description: @inproceedings{guo2025beyond, title={Beyond Human Perception: Understanding Multi-Object World from Monocular View}, author={Guo, Keyu and Huang, Yongle and Sun, Shijie and Song, Xiangyu and Feng, Mingtao and Liu, Zedong and Song, Huansheng and Wang, Tiantian and Li, Jianxin and Akhtar, Naveed and others}, booktitle={Proceedings of the Computer Vision and Pattern Recognition Conference}, pages={3751--3760}, year={2025} }
Reference: Guo, Keyu, Huang, Yongle, Sun, Shijie, Song, Xiangyu, Feng, Mingtao, Liu, Zedong, Song, Huansheng, Wang, Tiantian, Li, Jianxin, Akhtar, Naveed, others, Beyond Human Perception: Understanding Multi-Object World from Monocular View. In Proceedings of the Computer Vision and Pattern Recognition Conference, 2025.
Last submitted: August 06, 2025
Published: August 06, 2025 at 09:34:44
Submissions: 1
Project page / code: N/A
Open source: No

Benchmark performance

Submission Date F1 (↑) Precision (↑) Recall (↑) TP (↑) FP (↓) FN (↓)
2025-08-06 09:34 69.0900 54.4600 94.4700 63139 52806 3698