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I notice that the best results on Class-agnostic evaluation on ScanNet200 are based on the "3D + SAM" model. Does this SAM refer to the original SAM? I checked the code, and it seems that the segmenter2d does not include an option for the original SAM; it only has options like Grounded-SAM, etc. Could you please tell me how to reproduce the highest-performing method mentioned in the paper? Thank you very much.
The text was updated successfully, but these errors were encountered:
I notice that the best results on Class-agnostic evaluation on ScanNet200 are based on the "3D + SAM" model. Does this SAM refer to the original SAM? I checked the code, and it seems that the segmenter2d does not include an option for the original SAM; it only has options like Grounded-SAM, etc. Could you please tell me how to reproduce the highest-performing method mentioned in the paper? Thank you very much.
The text was updated successfully, but these errors were encountered: