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\n  \n inproceedings\n \n \n (1)\n \n \n
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\n \n\n \n \n \n \n \n \n Hyperspectral Image Compression Using Implicit Neural Representations.\n \n \n \n \n\n\n \n Rezasoltani, S.; and Qureshi, F.\n\n\n \n\n\n\n In Proc. 20th Conference on Robots and Vision (CRV23), pages 8pp, Montreal, Jun 2023. \n \n\n\n\n
\n\n\n\n \n \n \"Hyperspectral paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 3 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@InProceedings{23-crv-c,\n  author =       {S. Rezasoltani  and F.Z. Qureshi},\n  title =        {Hyperspectral Image Compression Using Implicit Neural Representations},\n  booktitle = {Proc. 20th Conference on Robots and Vision (CRV23)},\n  year =      {2023},\n  month =     {Jun},\n  address =   {Montreal},\n  pages = {8pp},\n  url_Paper = {pubs/23-crv-c.pdf},\n  keywords = {hsi-inr-compression}\n}\n\n
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