ARC Discovery Project

Deep Learning Architecture with Context Adaptive Features for Image Parsing

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ReadME

Datasets

The datasets used for investigations are included in the data directory. These datasets can also be downloaded from thier respective links below

1. CamVid Database
2. Stanford Backgrodund Dataset
3. MSRC Databases

Notes on Usage

SuperPixelData.m 

# Runs the Algorithm and computes the pixel-wise segmentation results. 

Publications

If you find codes and results useful in your research, please consider citing:

@inproceedings{9290686,
Author = {Azam, Basim and Mandal, Ranju and Zhang, Ligang and Verma, Brijesh},
Title = {Class Probability-based Visual and Contextual Feature Integration for Image Parsing},
Booktitle  = {2020 35th International Conference on Image and Vision Computing New Zealand (IVCNZ)},
Year = {2020}
}

Contributions / Queries

Requests and queries are welcome. Please drop me an email at b.azam@cqu.edu.au

License