Code Release for the paper "TriBERT: Full-body Human-centric Audio-visual Representation Learning for Visual Sound Separation"

Last update: Aug 31, 2022

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Overview

TriBERT

This repository contains the code for the NeurIPS 2021 paper titled "TriBERT: Full-body Human-centric Audio-visual Representation Learning for Visual Sound Separation".

Code, pretrained models, and pre-processed data will be available soon.

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Comments

Dataset directory structure and datasets

Hi: Thank you very much for your excellent work. Could you please send me the data in the file below to learn the following, I don't know what file is in the file path below, can you tell me the directory structure, thank you very much!

    self.root_path = "/ubc/cs/research/shield/datasets/MUSIC21_dataset/preprocessed_data/music21_bert_features/music_dataset"
    self.frame_root = "/ubc/cs/research/shield/datasets/MUSIC21_dataset/preprocessed_data/music21_all_frames"
    self.audio_root = "/ubc/cs/research/shield/datasets/MUSIC21_dataset/preprocessed_data/music21_bert_features/audio_feat"
    self.pose_root = "/ubc/cs/research/shield/datasets/MUSIC21_dataset/preprocessed_data/music21_bert_features/pose_feat_split_frame"
    self.pose_bbox_path = "/ubc/cs/research/shield/datasets/MUSIC21_dataset/preprocessed_data/music21_bert_features/alphapose_bbox_json"

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Owner

UBC Computer Vision Group

University of British Columbia Computer Vision Group

GitHub

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