Search Results for author: Sofia Broomé

Found 9 papers, 6 papers with code

Sharing Pain: Using Pain Domain Transfer for Video Recognition of Low Grade Orthopedic Pain in Horses

1 code implementation21 May 2021 Sofia Broomé, Katrina Ask, Maheen Rashid, Pia Haubro Andersen, Hedvig Kjellström

Moreover, we present a human expert baseline for the problem, as well as an extensive empirical study of various domain transfer methods and of what is detected by the pain recognition method trained on clean experimental pain in the orthopedic dataset.

Fine-grained Action Recognition Video Recognition

Automated Detection of Equine Facial Action Units

1 code implementation17 Feb 2021 Zhenghong Li, Sofia Broomé, Pia Haubro Andersen, Hedvig Kjellström

To automate parts of this process, we propose a Deep Learning-based method to detect EquiFACS units automatically from images.

Facial Action Unit Detection

Interpreting video features: a comparison of 3D convolutional networks and convolutional LSTM networks

2 code implementations2 Feb 2020 Joonatan Mänttäri, Sofia Broomé, John Folkesson, Hedvig Kjellström

A number of techniques for interpretability have been presented for deep learning in computer vision, typically with the goal of understanding what the networks have based their classification on.

General Classification

Dynamics are Important for the Recognition of Equine Pain in Video

1 code implementation7 Jan 2019 Sofia Broomé, Karina Bech Gleerup, Pia Haubro Andersen, Hedvig Kjellström

Sequential models are experimentally compared to single-frame models, showing the importance of the temporal dimension of the data, and are benchmarked against a veterinary expert classification of the data.

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