5 citations · 7 across the 5 of their papers we have counts for
Showing 2022Show all
2 papers · 1 filter
cs.CV2022
Tech Report: One-stage Lightweight Object Detectors
Deokki Hong
This work is for designing one-stage lightweight detectors which perform well in terms of mAP and latency. With baseline models each of which targets on GPU and CPU respectively, v…
cs.CV2022★ 2 cited
It's All In the Teacher: Zero-Shot Quantization Brought Closer to the Teacher
Kanghyun Choi, Hye Yoon Lee, Deokki Hong +4
Model quantization is considered as a promising method to greatly reduce the resource requirements of deep neural networks. To deal with the performance drop induced by quantizatio…