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Hi, I would appreciate it if someone could shed some light on the object pointer feature introduced in SAM2.
As mentioned in the paper: In addition to the spatial memory, we store a list of object pointers as lightweight vectors for high-level semantic information of the object to segment, based on mask decoder output tokens of each frame.
However, in the (inference) code, I just don't see the benefit of this particular token. Moreover, the tracking still seems to work if you disable it. I wonder if someone could share their insights on this.
The text was updated successfully, but these errors were encountered:
Hi, I would appreciate it if someone could shed some light on the
object pointer
feature introduced in SAM2.As mentioned in the paper:
In addition to the spatial memory, we store a list of object pointers as lightweight vectors for high-level semantic information of the object to segment, based on mask decoder output tokens of each frame.
However, in the (inference) code, I just don't see the benefit of this particular token. Moreover, the tracking still seems to work if you disable it. I wonder if someone could share their insights on this.
The text was updated successfully, but these errors were encountered: