Previous work on novel object detection considers zero or few-shot settings where none few examples of each category are available for training. In real world scenarios, it is less practical to expect that ‘all’ the classes either unseen have few-examples. Here, we propose a more realistic setting termed ‘Any-shot detection’, totally and categories can simultaneously co-occur during inference. ...