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God bless people who implement models from academic articles that should frankly include them to begin with. What's more is that this implementation has clear i
by jszymborski 9y ago
God bless people who implement models from academic articles that should frankly include them to begin with. What's more is that this implementation has clear instructions for extending this to your datasets.
- naveen99 9y agoTo be fair, the academic article did include the code : https://github.com/facebookresearch/deepmask https://github.com/facebookresearch/deepmask It was just in Lua.
- db1024 9y agoDeepmask is something else.
- naveen99 9y agoYou are right, it's a different paper. But they both do instance segmentation and both build upon faster r cnn.
- HealthGoth 9y agoThey do not both build upon faster-rcnn. Deep mask is a pretty different paradigm - it makes mask proposals (instead of bounding box proposals) and then refines them using sharpmask, and it doesn't work as well as mask-rcnn in terms of mean average precision. Mask-rcnn just adds a branch to faster-rcnn that roi-pools the bounding box predictions in order to predict masks.
- throwaway287391 9y ago> academic articles that should frankly include them to begin with. Boo hoo. Researchers tell the world for free exactly how to implement their state-of-the-art work (which probably cost north of $1M to develop) and promise to release code, and we're indignant because they didn't do it quite fast enough for us.
- jszymborski 9y ago(1) It's not free when the research is funded by public tax dollars (which I grant is not always, but often the case). (2) I'm not aware of this promise you're speaking of... my understanding is that authors of papers are under no obligation to produce any implementation, let alone usable, documented implementations.
- throwaway287391 9y ago> (1) It's not free when the research is funded by public tax dollars (which I grant is not always, but often the case). The work was done at FAIR (Facebook), so that's not applicable here. > (2) I'm not aware of this promise you're speaking of... my understanding is that authors of papers are under no obligation to produce any implementation, let alone usable, documented implementations. Look at the paper [1], it's the last sentence of the abstract: "Code will be made available." [1] https://research.fb.com/wp-content/uploads/2017/08/maskrcnn.pdf https://research.fb.com/wp-content/uploads/2017/08/maskrcnn....
- haeffin 9y agoThey said at ICCV that they will release the code after the CVPR paper submission deadline, so "soon".
- 0xbear 9y agoVery rarely do these papers contain all the tricks needed to replicate the exact results presented. Usually, if you follow the paper to the letter you won’t get the same thing in the end. In particular training regimes and the particulars of data augmentation are often omitted “for brevity“.
- j_s 9y ago[edit] > people who implement models from academic articles Is anyone collecting the various HN discussions as these pop up? I would appreciate help finding them again.
- Choco31415 9y agoAny AI discussions in general, or something more specific? This sounds like a fun idea that’s worth trying.
- iandanforth 9y agoIf you're looking for a way to find the implementations again I recommend http://www.gitxiv.com/ http://www.gitxiv.com/
- singularity2001 9y agothis should be the standard way for publishing