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Download Wang Unsupervised Deep Tracking CVPR 2019 Paper by ['Luigy Machaca'] in PDF format completely FREE. No registration required, no payment needed. Get instant access to this valuable resource on PDFdrive.to!
About Wang Unsupervised Deep Tracking CVPR 2019 Paper
This document proposes an unsupervised deep tracking method that trains a CNN model on unlabeled video data by exploiting forward and backward target predictions. The model is trained to track the target object forward through successive frames and backward to the initial frame. This is done using a Siamese correlation filter network on unlabeled videos. The method aims to learn generic representations without requiring annotated data.
Detailed Information
| Author: | ['Luigy Machaca'] |
|---|---|
| Publication Year: | 2020 |
| Pages: | 10 |
| Language: | English |
| Format: | |
| Price: | FREE |
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