Open Access
Issue |
ITM Web Conf.
Volume 59, 2024
II International Workshop “Hybrid Methods of Modeling and Optimization in Complex Systems” (HMMOCS-II 2023)
|
|
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Article Number | 03002 | |
Number of page(s) | 9 | |
Section | Data Mining, Machine Learning and Patern Recognition | |
DOI | https://doi.org/10.1051/itmconf/20245903002 | |
Published online | 25 January 2024 |
- A.F. O’Connell, J.D. Nichols, K.U. Karanth, Camera traps in animal ecology: Methods and analyses (Berlin, Germany: Springer Science & Business Media, 2011), p. 279. https://doi.org/10.1007/978-4-431-99495-4 [Google Scholar]
- A. Gomez-Villa, A. Salazar, F. Vargas, Ecological Informatics 41, 24–32 (2017). https://doi.org/10.1016/j.ecoinf.2017.07.004 [CrossRef] [Google Scholar]
- A. Swanson, M. Kosmala, C.J. Lintott, R. Simpson, A.M. Smith, C. Packer, Scientific Data 2, 150026 (2015) [CrossRef] [Google Scholar]
- G. Chen, T.X. Han, Z. He, R.W. Kays, T.D. Forrester, Deep convolutional neural network based species recognition for wild animal monitoring, 2014 IEEE International Conference on Image Processing (ICIP), 858–862 (2014) [Google Scholar]
- S. Beery, G. Van Horn, P. Perona. (2018). Recognition in Terra Incognita. Computer Vision - ECCV 2018. Lecture Notes in Computer Science, vol 11220. (Springer, Cham, 2018). https://doi.org/10.1007/978-3-030-01270-0_28 [Google Scholar]
- M.S. Norouzzadeh, A. Nguyen, M. Kosmala, A. Swanson, M.S. Palmer, C. Packer, J. Clune, Proceedings of the National Academy of Sciences of the United States of America 115(25), E5716–E5725 (2018). https://doi.org/10.1073/pnas.1719367115 [Google Scholar]
- M. Willi, R.T. Pitman, A.W. Cardoso, et al., Methods in Ecology and Evolution 10(1), 80–91 (2019). https://doi.org/10.1111/2041-210X.13099 [CrossRef] [Google Scholar]
- A.V. Leus, V.A. Efremov, Proceedings of the Mordovia State Nature Reserve 28, 121–129 (2021). [Google Scholar]
- J. Glenn, YOLOv5 release v6.1. (2021). https://github.com/ultralytics/yolov5/releases/tag/v6.1 [Google Scholar]
- C. Wang, I. Yeh, H.M. Liao, You Only Learn One Representation: Unified Network for Multiple Tasks (2021). https://doi.org/10.48550/arXiv.2105.04206 [Google Scholar]
- Z. Ge, S. Liu, F. Wang, Z. Li, J. Sun, YOLOX: Exceeding YOLO Series in 2021 (2021). https://doi.org/10.48550/arXiv.2107.08430 [Google Scholar]
- K. He, X. Zhang, S. Ren, J. Sun, Deep residual learning for image recognition, In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 770–778 (2016). https://doi.org/10.1109/CVPR.2016.90 [Google Scholar]
- J. Hu, L. Shen, S. Albanie, G. Sun, E. Wu, IEEE Transactions on Pattern Analysis and Machine Intelligence 42(8), 2011–2023 (2020). https://doi.org/10.1109/TPAMI.2019.2913372 [CrossRef] [PubMed] [Google Scholar]
- H. Zhang, C. Wu, Z. Zhang, Y. Zhu., Z. Zhang, H. Lin, Y. Sun, T. He, J. Mueller, R. Manmatha, M. Li, A. Smola, ResNeSt: Split-Attention Networks (2020). https://doi.org/10.48550/arXiv.2004.08955 [Google Scholar]
- D. Han, S. Yun, B. Heo, Y.J. Yoo, ReXNet: Diminishing Representational Bottleneck on Convolutional Neural Network (2020). https://doi.org/10.48550/arXiv.2007.00992 [Google Scholar]
- M.A. Tabak, M.S. Norouzzadeh, D.W. Wolfson, S.J. Sweeney, K.C. VerCauteren, N.P. Snow, J.M. Halseth, P.A. Di Salvo, J.S. Lewis, M.D. White, B. Teton, J.C. Beasley, P.E. Schlichting, R.K. Boughton, B. Wight, E.S. Newkirk, J.S. Ivan, E.A. Odell, R.K. Brook, R.S. Mille, Methods in Ecology and Evolution 10(4), 585–590 (2018). https://doi.org/10.1111/2041-210X.13120 [Google Scholar]
- C. Zhu, T. H. Li, G. Li, Towards Automatic Wild Animal Detection in Low Quality Camera-Trap Images Using Two-Channeled Perceiving Residual Pyramid Networks, 2017 IEEE International Conference on Computer Vision Workshops (ICCVW), 28602864 (2017). https://doi.org/10.1109/iccvw.2017.33 [Google Scholar]
- H. Yousif, J. Yuan, R. Kays, Z. He. (2017). Fast human-animal detection from highly cluttered camera-trap images using joint background modeling and deep learning classification. 2017 IEEE International Symposium on Circuits and Systems (ISCAS), pp. 1–4, https://doi.org/10.1109/ISCAS.2017.8050762 [Google Scholar]
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