1 code implementation • 22 Apr 2022 • Jing Gao, Tilo Burghardt, Neill W. Campbell
In particular, for the task of automatic identification of individual Holstein-Friesians in real-world farm CCTV, we show that self-supervision, metric learning, cluster analysis, and active learning can complement each other to significantly reduce the annotation requirements usually needed to train cattle identification frameworks.
2 code implementations • 5 May 2021 • Jing Gao, Tilo Burghardt, William Andrew, Andrew W. Dowsey, Neill W. Campbell
Motivated by the labelling burden involved in constructing visual cattle identification systems, we propose exploiting the temporal coat pattern appearance across videos as a self-supervision signal for animal identity learning.