1 citations · 1 across the 1 of their papers we have counts for
3 papers
cs.CV2023
FSD: Fully-Specialized Detector via Neural Architecture Search
Zhe Huang, Yudian Li
Most generic object detectors are mainly built for standard object detection tasks such as COCO and PASCAL VOC. They might not work well and/or efficiently on tasks of other domain…
cs.CV2019
Scale Calibrated Training: Improving Generalization of Deep Networks via Scale-Specific Normalization
Zhuoran Yu, Aojun Zhou, Yukun Ma +3
Standard convolutional neural networks(CNNs) require consistent image resolutions in both training and testing phase. However, in practice, testing with smaller image sizes is nece…
cs.CV2018★ 1 cited
A Main/Subsidiary Network Framework for Simplifying Binary Neural Network
Yinghao Xu, Xin Dong, Yudian Li +1
To reduce memory footprint and run-time latency, techniques such as neural network pruning and binarization have been explored separately. However, it is unclear how to combine the…