OBJECT DETECTION WITH TRAINING FROM MULTIPLE DATASETS

摘要

Methods and systems for object detection include training (204) dataset- specific object detectors using respective annotated datasets, each of the annotated datasets including annotations for a respective set of one or more object classes. The annotated datasets are cross-annotated (206) using the dataset-specific object detectors. A unified object detector is trained (208), using the cross-annotated datasets, to detect all of the object classes of the annotated datasets. Objects are detected (210) in an input image using the unified object detector.