Shriarulmozhivarman
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Update README.md
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README.md
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[![Docker Image Build and Push](https://github.com/shriarul5273/Robust_RGB-D_Saliency_Detection/actions/workflows/docker-image.yml/badge.svg)](https://github.com/shriarul5273/Robust_RGB-D_Saliency_Detection/actions/workflows/docker-image.yml) [![Deploy to Hugging Face Spaces](https://github.com/shriarul5273/Robust_RGB-D_Saliency_Detection/actions/workflows/huggingface.yml/badge.svg)](https://github.com/shriarul5273/Robust_RGB-D_Saliency_Detection/actions/workflows/huggingface.yml)
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[:hugs: HuggingFace-Space](https://huggingface.co/spaces/shriarul5273/Robust_RGB-D_Saliency_Detection)
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[![arXiv](https://img.shields.io/badge/arXiv-2208.01762-00ff00.svg)](https://arxiv.org/pdf/2208.01762.pdf)
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## Deployment of the paper:
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[Robust RGB-D Fusion for Saliency Detection](https://arxiv.org/pdf/2208.01762.pdf) published at the International Conference on 3D Vision 2022 (3DV 2022). Paper Code can be found at [Zongwei97/RFNet](https://github.com/Zongwei97/RFnet).
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## View the Deployed app in :hugs: huggingface-spaces
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https://huggingface.co/spaces/shriarul5273/Robust_RGB-D_Saliency_Detection
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## Run container from Docker Hub Image
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```
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docker run -it -p 7000:7000 shriarul5273/robust_rgb-d_saliency_detection:latest
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```
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Deployed app (in port 7000) http://localhost:7000
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## Build and run container locally
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1. Build container
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```
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docker build . --tag robust_rgb-d_saliency_detection:latest
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```
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2. Run container from the
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```
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docker run -it -d -p 7000:7000 robust_rgb-d_saliency_detection:latest
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```
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Deployed app (in port 7000) http://localhost:7000
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