search

yinjunbo / SSDA3D

Thie repo provides the official implementation of our AAAI-2023 paper “SSDA3D: Semi-supervised Domain Adaptation for 3D Object Detection from Point Cloud”.
Apache License 2.0
44 stars 2 forks source link

setting under 100% labeled target #6

Closed miaozhang97bosch closed 4 days ago

miaozhang97bosch commented 1 month ago

Thanks for sharing this excellent work! Could you please share the details about how the 2nd stage works under 100% labeled target setting? In this case, there will be no TU data, will the student-teacher learning still be conducted? Thanks in advance!

jetpackfirstme commented 4 days ago

Sorry for the late response. We just fine-tune the model using GT labels after training Stage-1 for 100% labeled target setting.

miaozhang97bosch commented 4 days ago

Sorry for the late response. We just fine-tune the model using GT labels after training Stage-1 for 100% labeled target setting.

Got it. Thanks!