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About Review: Deepmask (Instance Segmentation) : An Instance Segment Proposal Method Driven by Convolutional Neural Networks
This document summarizes the DeepMask instance segmentation method. DeepMask takes an image patch as input and uses a convolutional neural network with two branches to 1) predict a segmentation mask and 2) score how likely it is to contain an object. It is trained jointly on these two tasks. During inference, it densely applies the model at multiple locations and scales to generate segmentation proposals for each object. Evaluation on MS COCO and PASCAL VOC shows it outperforms other proposal generation methods and approaches for instance segmentation and object detection.
Detailed Information
| Author: | ['Peter'] |
|---|---|
| Publication Year: | 2021 |
| Pages: | 6 |
| Language: | English |
| Format: | |
| Price: | FREE |
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