Search Results for author: Neill W. Campbell

Found 2 papers, 2 papers with code

Label a Herd in Minutes: Individual Holstein-Friesian Cattle Identification

1 code implementation22 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.

Active Learning Metric Learning

Towards Self-Supervision for Video Identification of Individual Holstein-Friesian Cattle: The Cows2021 Dataset

2 code implementations5 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.

Contrastive Learning

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