A dynamically class-wise weighting mechanism for unsupervised cross-domain object detection under universal scenarios.

MLA

Shi, Wenxu, et al. “A Dynamically Class-Wise Weighting Mechanism for Unsupervised Cross-Domain Object Detection under Universal Scenarios.” Knowledge-Based Systems, vol. 299, Sept. 2024, p. N.PAG. EBSCOhost, https://doi.org/10.1016/j.knosys.2024.111987.

APA

Shi, W., Liu, D., Tan, D., & Zheng, B. (2024). A dynamically class-wise weighting mechanism for unsupervised cross-domain object detection under universal scenarios. Knowledge-Based Systems, 299, N.PAG. https://doi.org/10.1016/j.knosys.2024.111987

Chicago

Shi, Wenxu, Dan Liu, Dailun Tan, and Bochuan Zheng. 2024. “A Dynamically Class-Wise Weighting Mechanism for Unsupervised Cross-Domain Object Detection under Universal Scenarios.” Knowledge-Based Systems 299 (September): N.PAG. doi:10.1016/j.knosys.2024.111987.