ramanan
Joined 14 years ago
Karma
654
Submissions
83
Member since
Mar 5
Recent submissions
Comment · 5 years ago
True. I’m no expert in this area, but there are a lot more factors too - including territorial range and even different camera locations.
Comment · 5 years ago
This catch and release pattern is quite common in many wildlife surveys.
For example, when estimating tiger populations, instead of painting a white dot, rangers set up camera traps to take photos. Then they can use stripe patterns as a signature for subsequent re-appearances. Quite an interesting intersection for image AI with statistical counting methods.
Comment · 5 years ago
This downward trend has long been in the works.
The current government came into power riding on a wave of popularity, largely driven by their "IT cells". Now comfortably in power, they are probably dismantling the path, to avoid others who might try to follow.
The government is not just in a stand-off with big-tech companies. It continues to view its own citizens as adversaries with frequent internet shutdowns [1].
Comment · 6 years ago
Spotting a distressed swimmer is possibly much harder than most people expect.
There is a great website where you can try your spotting skills yourself [1].
Comment · 7 years ago
minutephysics had a nice video about the mathematics that go behind piano tuning too.
"Why It's Impossible to Tune a Piano" https://www.youtube.com/watch?v=1Hqm0dYKUx4
Comment · 8 years ago
Got it. I was looking for input on how generalizable (the ability of weights to change/adapt) when the training labeled data is 100x smaller than the initial pre-training dataset?
Also, I don't understand the need to be so defensive though and the relevance between my employer and my post?
Comment · 8 years ago
I understand that you do mention the pre-training / transfer learning approach clearly, but isn't it disingenuous to claim that you provide better performance based on (only) 100 labeled examples, when the pre-training dataset (Wikitext-103) actually contains 103M words?