Self-Supervised Learning by Cross-Modal Audio-Video. . Based on this intuition, we propose Cross-Modal Deep Clustering (XDC), a novel self-supervised method that leverages unsupervised clustering in one modality (e.g. audio).
Self-Supervised Learning by Cross-Modal Audio-Video. from i1.rgstatic.net
This cross-modal supervision helps XDC utilize the semantic correlation and the differences between the two modalities. Our experiments show that XDC outperforms single-modality.
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propose Cross-Modal Deep Clustering (XDC), a novel self-supervised method that leverages unsupervised clustering in one modality (e.g., audio) as a supervisory signal for the other.
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Visual and audio modalities are highly correlated, yet they contain different information. Their strong correlation makes it possible to predict the semantics of one from the other with good.
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Cross-Modal Deep Clustering (XDC), a novel self-supervised method that leverages unsupervised clustering in one modality as a supervisory signal for the other.
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Review 2. Summary and Contributions: This paper presents a clustering-based self-supervised learning algorithm from the video and audio sources. The paper extends the existing work on.
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21 rows Based on this intuition, we propose Cross-Modal Deep Clustering (XDC), a novel.
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Based on this intuition, we propose Cross-Modal Deep Clustering (XDC), a novel self-supervised method that leverages unsupervised clustering in one modality (e.g. audio).
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Home Browse by Title Proceedings NIPS'20 Self-supervised learning by cross-modal audio-video clustering. research-article.
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Self-supervised cross-modal learning with XDC on a large-scale video dataset yields an actionrecognition model that achieves higher accuracy when finetuned on HMDB51 or.
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Table 5: XDC audio clusters. Top and bottom XDC audio clusters ranked by clustering purity w.r.t. Kinetics labels. For each, we list the 3 concepts with the highest purity (given in.
Source: images.deepai.org
Self-Supervised Learning by Cross-Modal Audio-Video Clustering [Project Website] This repository holds the pretrained models for the Cross-Modal Deep Clustering (XDC) method.
Source: imisra.github.io
Cross-Modal Deep Clustering (XDC) is a novel self-supervised method that leverages unsupervised clustering in one modality (e.g. audio) as a supervisory signal for the other.
Source: images.deepai.org
on this intuition, we propose Cross-Modal Deep Clustering (XDC), a novel self-supervised method that leverages unsupervised clustering in one modality (e.g., audio) as a.
