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Sloop Deep Learning Talk
We presented a paper at the Workshop on Deep Learning for Animal Re-Identification
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Deep Recognition in Amplitude-Position Spaces
Friday, August 16, 2019 Kshitij Bakliwal, ESSG Visiting Student 2019-20 We present a new algorithm for recognition that uses mass transport distances and amplitude (filtered brightness) errors as inputs of a convolutional neural network that learns to recognize images in Siamese-twin and triplet-loss framework. The net result of this study is an approximately 90% recognition…
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Workshop on Insect and Animal Behavior
Interested in Nature? Interested in Vision? Send your paper to this nice workshop!
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Animal Biometrics: call for papers
Interested in Computer Vision or Pattern Recognition? In Ecology and Environment? Consider sending your paper to the session at MCPR’14 ( visit our work here )
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Katelyn Wolfenberger joins SLOOP team
We are happy to have Katelyn performing undergraduate research with us. Welcome, Kaitlyn!