10 citations · 17 across the 3 of their papers we have counts for
3 papers
cs.CV2021
Dynamic Multi-Scale Loss Optimization for Object Detection
Yihao Luo, Xiang Cao, Juntao Zhang +3
With the continuous improvement of the performance of object detectors via advanced model architectures, imbalance problems in the training process have received more attention. It…
cs.CV2021★ 10 cited
CE-FPN: Enhancing Channel Information for Object Detection
Yihao Luo, Xiang Cao, Juntao Zhang +4
Feature pyramid network (FPN) has been an effective framework to extract multi-scale features in object detection. However, current FPN-based methods mostly suffer from the intrins…
cs.CV2018★ 7 cited
Joint convolutional neural pyramid for depth map super-resolution
Yi Xiao, Xiang Cao, Xianyi Zhu +2
High-resolution depth map can be inferred from a low-resolution one with the guidance of an additional high-resolution texture map of the same scene. Recently, deep neural networks…