Class-agnostic Object Detection
2021 IEEE Winter Conference on Applications of Computer Vision (WACV)(2021)
摘要
Object detection models perform well at localizing and classifying objects that they are shown during training. However, due to the difficulty and cost associated with creating and annotating detection datasets, trained models detect a limited number of object types with unknown objects treated as background content. This hinders the adoption of conventional detectors in real-world applications li...
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关键词
Training,Visualization,Computer vision,Protocols,Grounding,Conferences,Object detection
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