Great Ape Detection in Challenging Jungle Camera Trap Footage via Attention-Based Spatial and Temporal Feature Blending-Reference-Cited by-同舟云学术

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Great Ape Detection in Challenging Jungle Camera Trap Footage via Attention-Based Spatial and Temporal Feature Blending

Published:2019-10 Issue: Volume: Page:
ISSN:
Container-title:2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW)
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Author:

Yang Xinyu,Mirmehdi Majid,Burghardt Tilo

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8982559/9021948/09022562.pdf?arnumber=9022562

Cited by 15 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

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2. PanAf20K: A Large Video Dataset for Wild Ape Detection and Behaviour Recognition;International Journal of Computer Vision;2024-03-04

3. Simplified Concrete Dropout - Improving the Generation of Attribution Masks for Fine-Grained Classification;Lecture Notes in Computer Science;2024

4. Video-SwinUNet: Spatio-temporal Deep Learning Framework for VFSS Instance Segmentation;2023 IEEE International Conference on Image Processing (ICIP);2023-10-08

5. ASBAR: an Animal Skeleton-Based Action Recognition framework. Recognizing great ape behaviors in the wild using pose estimation with domain adaptation;2023-09-25

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