The predictions are way out from the gound truth when the object is truncated i.e. only part of the object is within the image boundary. Estimating position uses the four bounding box corners but when there is truncation the bounding box does not cover all of the object, only the part that is within the image.
Is there a way to overcome this problem? Or is this method simply just not suitable for cases where truncation occurs?
The predictions are way out from the gound truth when the object is truncated i.e. only part of the object is within the image boundary. Estimating position uses the four bounding box corners but when there is truncation the bounding box does not cover all of the object, only the part that is within the image.
Is there a way to overcome this problem? Or is this method simply just not suitable for cases where truncation occurs?