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Bytedance Researchers Propose CLIP-GEN: A New Self-Supervised Deep Learning Generative Approach...

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This Article Is Based On The Research Paper 'CLIP-GEN: Language-Free Training of a Text-to-Image Generator with CLIP'. All Credit For This Research Goes To...

Bytedance Announces A New Plugin That Utilizes Machine Learning For Audio...

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This Article Is Based On Mawf Insights and Information. All Credit For This Research Goes To The Researchers Of This Project 👏👏👏 Please Don't Forget...

Researchers From ByteDance Introduce MetaFormer: A Unified Meta Framework for Fine-Grained...

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Fine-grained visual classification, in contrast to generic object classification, tries to correctly classify things from the same basic category (birds, vehicles, etc.) into subcategories....

ByteDance Proposes An Impressive Multi-Object Tracking Architecture

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Multi-object tracking (MOT) involves identifying and following objects as they move about in videos. Currently, available methods obtain identities by associating detection boxes whose...

ByteDance Proposes ‘DyStyle’: A Novel Dynamic Neural Network For Style Editing

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In the last few years, AI researchers have been using Generative adversarial networks (GANs) to create images with unprecedented levels of diversity and photorealism,...

ByteDance (Developer of TikTok) Unveils The Most Advanced, Real-Time, HD, Human...

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The use of real-time background replacement is becoming popular in many areas. For example, video conferencing and entertainment are two fields where this technique...