The DOI matches its Crossref record; 86 of the 86 references it cites were found in a registry or an index.
WilDect-YOLO: An efficient and robust computer vision-based accurate object localization model for automated endangered wildlife detection
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Cites
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Cited by
A Comprehensive Review of YOLO Architectures in Computer Vision: From YOLOv1 to YOLOv8 and YOLO-NAS
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Self-citationDeep learning-based cost-effective and responsive robot for autism treatment
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Self-citationIdentification of Rare Wildlife in the Field Environment Based on the Improved YOLOv5 Model
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Metadata
- Authors
- Roy, A. M., Bhaduri, J., Kumar, T., & Raj, K.
- Venue
- Ecological Informatics
- Publisher
- Elsevier BV
- Published
- 2023-07
- Volume
- 75
- Pages
- 101919
- ISSN
- 1574-9541 (ISSN-L)
- OpenAlex
- W4309279743
- Cited by
- 257
- References
- 86
- FWCI
- 18.13
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.elsevier.com/tdm/userlicense/1.0/ (tdm)
- www.elsevier.com/legal/tdmrep-license (tdm)
- doi.org/10.15223/policy-017 (stm-asf)
- doi.org/10.15223/policy-037 (stm-asf)
- doi.org/10.15223/policy-012 (stm-asf)
- doi.org/10.15223/policy-029 (stm-asf)
- doi.org/10.15223/policy-004 (stm-asf)
- Funders
- Aeronautics Research and Development Board (DARO/08/1051450/M/I)
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- This page
- CoChat. (2026). Citation check: WilDect-YOLO: An efficient and robust computer vision-based accurate object localization model for automated endangered wildlife detection. https://app.cochat.ai/papers/10.1016/j.ecoinf.2022.101919
- The paper
- Roy, A. M., Bhaduri, J., Kumar, T., & Raj, K. (2023). WilDect-YOLO: An efficient and robust computer vision-based accurate object localization model for automated endangered wildlife detection. Ecological Informatics. https://doi.org/10.1016/j.ecoinf.2022.101919
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
