7 citations · 12 across the 5 of their papers we have counts for
5 papers
Boosting R-CNN: Reweighting R-CNN Samples by RPN's Error for Underwater Object Detection
Pinhao Song, Pengteng Li, Linhui Dai +2
Complicated underwater environments bring new challenges to object detection, such as unbalanced light conditions, low contrast, occlusion, and mimicry of aquatic organisms. Under…
FRIH: Fine-grained Region-aware Image Harmonization
Jinlong Peng, Zekun Luo, Liang Liu +6
Image harmonization aims to generate a more realistic appearance of foreground and background for a composite image. Existing methods perform the same harmonization process for the…
End-to-end video instance segmentation via spatial-temporal graph neural networks
Tao Wang, Ning Xu, Kean Chen +1
Video instance segmentation is a challenging task that extends image instance segmentation to the video domain. Existing methods either rely only on single-frame information for th…
Contrastive Learning from Extremely Augmented Skeleton Sequences for Self-supervised Action Recognition
Tianyu Guo, Hong Liu, Zhan Chen +3
In recent years, self-supervised representation learning for skeleton-based action recognition has been developed with the advance of contrastive learning methods. The existing con…
Automatic low-bit hybrid quantization of neural networks through meta learning
Tao Wang, Junsong Wang, Chang Xu +1
Model quantization is a widely used technique to compress and accelerate deep neural network (DNN) inference, especially when deploying to edge or IoT devices with limited computat…