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I started reading this thinking "oh not another deep learning / SLAM paper with no code or data". Ironically they reference and build on the concepts from DTAM:

I started reading this thinking "oh not another deep learning / SLAM paper with no code or data". Ironically they reference and build on the concepts from DTAM: https://github.com/magican/OpenDTAM.git https://github.com/magican/OpenDTAM.git If you don't publish code your paper will have less impact. We want to test your algorithm on different data, not painstakingly reimplement it from incomplete descriptions. There are literally thousands of papers in the field every year, you want to be accessible not baroque.

angry_octet 8y ago
The conference where it is one of many... https://eccv2018.org/program/sessions/ https://eccv2018.org/program/sessions/
phiresky 8y ago
The same authors did publish code for another recent paper [1]. So it doesn't look like they are adverse to publishing their code in general. [1]: https://lmb.informatik.uni-freiburg.de/people/ummenhof/depthmotionnet/ https://lmb.informatik.uni-freiburg.de/people/ummenhof/depth...
- angry_octet 8y ago
  That is positive. It just needs to become the norm.