Jiang, L., Lee, C., Teotia, D., & Ostadabbas, S. (2022). Animal pose estimation: A closer look at the state-of-the-art, existing gaps and opportunities. Computer vision and image understanding, 222, 103483. https://doi.org/10.1016/j.cviu.2022.103483
Chicago Style (17th ed.) CitationJiang, Le, Caleb Lee, Divyang Teotia, and Sarah Ostadabbas. "Animal Pose Estimation: A Closer Look at the State-of-the-art, Existing Gaps and Opportunities." Computer Vision and Image Understanding 222 (2022): 103483. https://doi.org/10.1016/j.cviu.2022.103483.
MLA (9th ed.) CitationJiang, Le, et al. "Animal Pose Estimation: A Closer Look at the State-of-the-art, Existing Gaps and Opportunities." Computer Vision and Image Understanding, vol. 222, 2022, p. 103483, https://doi.org/10.1016/j.cviu.2022.103483.