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OpenAI's unCLIP Text-to-Image System Leverages Contrastive and Diffusion Models to Achieve SOTA Performance | by Synced | SyncedReview | Medium
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PDF] Asymmetric Spatio-Temporal Embeddings for Large-Scale Image-to-Video Retrieval | Semantic Scholar
![AK on Twitter: "AudioCLIP: Extending CLIP to Image, Text and Audio⋆ pdf: https://t.co/aYXK7gYjRs abs: https://t.co/XUT9AGNGwy achieves new sota results in the ESC task, out-performing other approaches by reaching accuracies of 90.07 % AK on Twitter: "AudioCLIP: Extending CLIP to Image, Text and Audio⋆ pdf: https://t.co/aYXK7gYjRs abs: https://t.co/XUT9AGNGwy achieves new sota results in the ESC task, out-performing other approaches by reaching accuracies of 90.07 %](https://pbs.twimg.com/media/E4sDVk9XwAcairA.jpg:large)
AK on Twitter: "AudioCLIP: Extending CLIP to Image, Text and Audio⋆ pdf: https://t.co/aYXK7gYjRs abs: https://t.co/XUT9AGNGwy achieves new sota results in the ESC task, out-performing other approaches by reaching accuracies of 90.07 %
Visualization via t-SNE 3D embedding of 500 clips (each clip is a point... | Download Scientific Diagram
![A 2D embedding of clip art styles, computed using t-SNE, shown with "... | Download Scientific Diagram A 2D embedding of clip art styles, computed using t-SNE, shown with "... | Download Scientific Diagram](https://www.researchgate.net/publication/272394653/figure/fig1/AS:392012747558914@1470474530500/A-2D-embedding-of-clip-art-styles-computed-using-t-SNE-shown-with-dog-examples.png)
A 2D embedding of clip art styles, computed using t-SNE, shown with "... | Download Scientific Diagram
![Incorporating natural language into vision models improves prediction and understanding of higher visual cortex | bioRxiv Incorporating natural language into vision models improves prediction and understanding of higher visual cortex | bioRxiv](https://www.biorxiv.org/content/biorxiv/early/2022/09/29/2022.09.27.508760/F4.large.jpg)