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https://github.com/DUT-IIAU-OIP-Lab/DMRA_RGBD-SOD
Code and Dataset for ICCV 2019 paper. "Depth-induced Multi-scale Recurrent Attention Network for Saliency Detection".
https://github.com/DUT-IIAU-OIP-Lab/DMRA_RGBD-SOD
Last synced: 2 months ago
JSON representation
Code and Dataset for ICCV 2019 paper. "Depth-induced Multi-scale Recurrent Attention Network for Saliency Detection".
- Host: GitHub
- URL: https://github.com/DUT-IIAU-OIP-Lab/DMRA_RGBD-SOD
- Owner: DUT-IIAU-OIP-Lab
- License: mit
- Fork: true (jiwei0921/DMRA)
- Created: 2019-07-30T01:57:10.000Z (almost 5 years ago)
- Default Branch: master
- Last Pushed: 2020-12-30T04:48:28.000Z (over 3 years ago)
- Last Synced: 2024-04-03T18:11:31.241Z (2 months ago)
- Language: Python
- Homepage:
- Size: 1.13 MB
- Stars: 26
- Watchers: 1
- Forks: 4
- Open Issues: 0
Lists
- awesome-rgbd-datasets - DUTLF-Depth - |Lytro light field (MVS) |SOE | In-The-Wild |Color, Depth |Saliency Mask |1200 images |2019 | (RGB-D Datasets <a id="list" class="anchor" href="#list" aria-hidden="true"><span class="octicon octicon-link"></span></a>)