152 citations · 155 across the 3 of their papers we have counts for
5 papers
Online Convolutional Re-parameterization
Mu Hu, Junyi Feng, Jiashen Hua +4
Structural re-parameterization has drawn increasing attention in various computer vision tasks. It aims at improving the performance of deep models without introducing any inferenc…
Learning to Generate Content-Aware Dynamic Detectors
Junyi Feng, Jiashen Hua, Baisheng Lai +3
Model efficiency is crucial for object detection. Mostprevious works rely on either hand-crafted design or auto-search methods to obtain a static architecture, regardless ofthe dif…
BANet: Bidirectional Aggregation Network with Occlusion Handling for Panoptic Segmentation
Yifeng Chen, Guangchen Lin, Songyuan Li +6
Panoptic segmentation aims to perform instance segmentation for foreground instances and semantic segmentation for background stuff simultaneously. The typical top-down pipeline co…
TapLab: A Fast Framework for Semantic Video Segmentation Tapping into Compressed-Domain Knowledge
Junyi Feng, Songyuan Li, Xi Li +4
Real-time semantic video segmentation is a challenging task due to the strict requirements of inference speed. Recent approaches mainly devote great efforts to reducing the model s…
Deep Q Learning Driven CT Pancreas Segmentation with Geometry-Aware U-Net
Yunze Man, Yangsibo Huang, Junyi Feng +2
Segmentation of pancreas is important for medical image analysis, yet it faces great challenges of class imbalance, background distractions and non-rigid geometrical features. To a…