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Fanbing Lv

2 accepted papers

2023

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

CVPR 2023poster

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. The existing works which employ standard detection framework and fixed…

2023

Hard Sample Matters a Lot in Zero-Shot Quantization

CVPR 2023poster

Zero-shot quantization (ZSQ) is promising for compressing and accelerating deep neural networks when the data for training full-precision models are inaccessible. In ZSQ, network quantization is performed using synthetic samples, thus, the performance of quantized models depends heavily on the quali…