[AAAI 2024] The official implementation of the paper "3D-STMN: Dependency-Driven Superpoint-Text Matching Network for End-to-End 3D Referring Expression Segmentation"
After inference, we can get some txt files. Is there method used to visualize the inference results you follow in the " "Acknowledgement" part ? I read these repos but find they use the ply file to visualize. Thanks!
I notice that the visual data augmentation is not applied. But you have given the visual data augmentation measures in the "data_aug" function. I want to know there is any code about the corresponding change code of the textual description if set the "aug==True"? Thanks!
Install segmentator from this repo (We wrap the segmentator in ScanNet).
Install Stanford CoreNLP toolkit from the official website.
These two lines of instructions are difficult for me as a new learner in this field.
Can you provide more detailed instructions so that it's easy to follow?
Thank you very much.