Search Results for author: Fanbing Lv

Found 3 papers, 2 papers with code

Hard Sample Matters a Lot in Zero-Shot Quantization

1 code implementation CVPR 2023 Huantong Li, Xiangmiao Wu, Fanbing Lv, Daihai Liao, Thomas H. Li, Yonggang Zhang, Bo Han, Mingkui Tan

Nonetheless, we find that the synthetic samples constructed in existing ZSQ methods can be easily fitted by models.


CAT: LoCalization and IdentificAtion Cascade Detection Transformer for Open-World Object Detection

no code implementations CVPR 2023 Shuailei Ma, Yuefeng Wang, Jiaqi Fan, Ying WEI, Thomas H. Li, Hongli Liu, Fanbing Lv

Open-world object detection (OWOD), as a more general and challenging goal, requires the model trained from data on known objects to detect both known and unknown objects and incrementally learn to identify these unknown objects.

object-detection Open World Object Detection

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