Multiobject Tracking of Wildlife in Videos Using Few-Shot Learning

Perspectives in machine learning for wildlife conservation

(2022) Devis Tuia et al.   Nature Communications

An Adaptive Embedding Network with Spatial Constraints for the Use of Few-Shot Learning in Endangered-Animal Detection

(2022) Jiangfan Feng et al.   ISPRS International Journal of Geo-Information

A Critical review of animal-based welfare indicators for polar bears (Ursus maritimus) in zoos: Identification and evidence of validity

(2021) CR Skovlund et al.   ANIMAL WELFARE

U2-Net: Going deeper with nested U-structure for salient object detection

(2020) Xuebin Qin et al.   PATTERN RECOGNITION

Object-adaptive LSTM network for real-time visual tracking with adversarial data augmentation

(2019) Yihan Du et al.   NEUROCOMPUTING

Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

(2017) Shaoqing Ren et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Measuring zoo animal welfare: theory and practice

(2009) Sonya P. Hill et al.   ZOO BIOLOGY

Evaluating Multiple Object Tracking Performance: The CLEAR MOT Metrics

(2008) Keni Bernardin et al.   European Association for Speech Signal and Image Processing