Open Vocabulary Attribute Detection

Open-Vocabulary Attribute Detection (OVAD) is a task in the field of computer vision that aims to detect and recognize a set of open objects and their associated attributes in images. This task achieves flexible detection and recognition of unknown categories by defining objects and attributes using text queries at inference time, without needing to know the test categories in advance during the training phase, thereby possessing extensive application value.