Path Aggregation Network for Instance Segmentation
The way that information propagates in neural networks is of great importance. In this paper, we propose Path Aggregation Network (PANet) aiming at boosting information flow in ...
Publications
4 shownSGN: Sequential Grouping Networks for Instance Segmentation
In this paper, we propose Sequential Grouping Networks (SGN) to tackle the problem of object instance segmentation. SGNs employ a sequence of neural networks, each solving a sub...
Box Aggregation for Proposal Decimation: Last Mile of Object Detection
Regions-with-convolutional-neural-network (RCNN) is now a commonly employed object detection pipeline. Its main steps, i.e., proposal generation and convolutional neural network...
Pyramid Scene Parsing Network
Scene parsing is challenging for unrestricted open vocabulary and diverse scenes. In this paper, we exploit the capability of global context information by different-region-base...
Frequent Co-Authors
Researcher Info
- h-index
- 4
- Publications
- 4
- Citations
- 22,890
- Institution
- Chinese University of Hong Kong
External Links
Identifiers
- ORCID
- 0000-0002-1246-553X
Impact Metrics
h-index
4
h-index: Number of publications with at least h citations each.