Patent ID: 11908170
Assignee: UIF (UNIVERSITY INDUSTRY FOUNDATION), YONSEI UNIVERSITY
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 7:
8. A multi-level transferable region-based domain adaptive object detection method comprising:
extracting an image-level feature by providing unlabeled target data to a plurality of convolutional layers;
determining region candidates by providing the image-level feature to a region proposal network (RPN) and performing RPN-level domain adaptation and transferable region filtering; and
extracting a region of interest (Rol) pooling feature by conducting dynamic instance sampling on the region candidates,
wherein the dynamic instance sampling includes dynamically determining a number of the region candidates in a target domain by multiplying a divergence between objectness scores of top N regions of the region candidates from a source domain and objectness scores of top N regions of the region candidates from the target domain by N.