A More Compact Object Detector Head Network with Feature Enhancement and Relational Reasoning

no code implementations • 28 Jun 2021 • Wenchao Zhang, Chong Fu, Xiangshi Chang, Tengfei Zhao, Xiang Li, Chiu-Wing Sham

Without losing generality, we can also build a more lighter head network for other multi-stage detectors by assembling our method.

object-detection Object Detection +1

Dense Global Context Aware RCNN for Object Detection

no code implementations • 1 Jan 2021 • Wenchao Zhang, Haoyu Xie, Mai Zhu, Chong Fu

RoIPool/RoIAlign is an indispensable process for the typical two-stage object detection algorithm, it is used to rescale the object proposal cropped from the feature pyramid to generate a fixed size feature map.

Object object-detection +1

Global Context Aware RCNN for Object Detection

no code implementations • 4 Dec 2020 • Wenchao Zhang, Chong Fu, Haoyu Xie, Mai Zhu, Ming Tie, Junxin Chen

The core component of our GCA framework is a context aware mechanism, in which both global feature pyramid and attention strategies are used for feature extraction and feature refinement, respectively.

Object object-detection +1

Joint Object Contour Points and Semantics for Instance Segmentation

no code implementations • 2 Aug 2020 • Wenchao Zhang, Chong Fu, Mai Zhu

The attributes of object contours has great significance for instance segmentation task.

Instance Segmentation Keypoint Detection +4