mousetraps
Joined 14 years ago
Joined 14 years ago
I’ve spent time in both academic research and industry.
Research is not supposed to be immediately applicable. The goal is to produce new knowledge - more importantly shared knowledge. Publishing is not a bad measure of that. Additionally, ability to secure grants provides incentive to focus on problems others want solved.
No incentive system is perfect, but I don’t really see how this is any different from any organization. And I don’t think it’s fair to judge an entire discipline by the negative examples.
Agreed it needs more attention, but - for academia - I think it's more of an incentive issue than a stigma issue. E.g. harder to benchmark the performance of two algorithms if they don't operate on the same dataset. Also to be fair, research into things like synthetic data mitigates the problem, just in a different way.
The paper you cited is interesting. Thanks for sharing. Hopefully that spawns more focus into understanding the subtleties of each dataset. IIRC Kaggle also had issues around generalizability, but for different reasons.
Anyways it's still early on... but we're currently building tools to help solve this problem. In particular simplifying the data collection / labeling process for vision systems. Would love to chat further w/ anyone interested in providing feedback. Email is [email protected]
Check out this tutorial for developing a node addon in VS, and let me know if you have any ideas on how to improve the experience.
http://computer-vision-talks.com/articles/how-to-debug-nodej...
Code and VS are different products, codebases, Etc. But if you see a specific feature you'd love to have in code or v.v., let us know, as we're always considering ways to collaborate wherever it makes sense.
dev/person-in-video here, happy to answer any questions we couldn't get to in the video :)
GitHub repo for those interested in playing around with the code. https://github.com/Microsoft/nodejstools