Exemplar Free Counting

Exemplar-Free Counting is a sub-task in the field of computer vision that aims to accurately estimate the number of objects in a scene without the guidance of example images. This task involves learning a general counting model, which avoids reliance on specific category examples, thereby enhancing the model's generalization ability and applicability. Its application value lies in the flexibility to handle various environments and object types, with wide-ranging applications in areas such as crowd monitoring and traffic flow analysis.