[ARCHIVED] Workshop on Deep Learning Methods and Applications for Animal Re-Identification at WACV2020 Conference!

Hi all!  Cross-posting a great opportunity to discuss animal re-identification at the upcoming Winter Conference on Applications of Computer Vision (WACV ’20) in Colorado (Mar 1 - 5, 2020).

The workshop will be talking about machine learning methods around population dynamics and behavioral ecology.  There will be conversations around GPS location prediction, ML for re-ID, vocal recognition for re-ID and animal/human pose estimation and more.  One of the hosts of the workshop, @sarabeery  , is a WILDLABS member.

For more info on WACV2020, visit: https://wacv20.wacv.net/