MJ EPA applies a single shared ViT encoder and one predictive objective within and across audio-visual modalities, reporting >6.8 mAP gains on AudioSet-20K and competitive video results with 10x less data.
arXiv preprint arXiv:2403.19638 (2024)
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MJEPA: A Simple and Scalable Joint-Embedding Predictive Architecture for Audio-Visual Learning
MJ EPA applies a single shared ViT encoder and one predictive objective within and across audio-visual modalities, reporting >6.8 mAP gains on AudioSet-20K and competitive video results with 10x less data.