Remove BERT Remove Computer Vision Remove Data Scarcity
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Zero-Shot Learning: Unlocking the Power of AI Without Training Data

Pickl AI

By leveraging auxiliary information such as semantic attributes, ZSL enhances scalability, reduces data dependency, and improves generalisation. This innovative approach is transforming applications in computer vision, Natural Language Processing, healthcare, and more. Auxiliary information can include semantic attributes (e.g.,

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Achieving accurate image segmentation with limited data: strategies and techniques

deepsense.ai

SegGPT Many successful approaches from NLP are now being translated into computer vision. For instance, the analogy of the masked token prediction task used to train BERT is known as masked image modeling in computer vision. Finally, the resulting segmentation, along with additional classification information.

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Achieving accurate image segmentation with limited data: strategies and techniques

deepsense.ai

SegGPT Many successful approaches from NLP are now being translated into computer vision. For instance, the analogy of the masked token prediction task used to train BERT is known as masked image modeling in computer vision. Finally, the resulting segmentation, along with additional classification information.

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AI for Music Generation (Overview)

Viso.ai

Symbolic Music Understanding ( MusicBERT ): MusicBERT is based on the BERT (Bidirectional Encoder Representations from Transformers) NLP model. It addresses issues in traditional end-to-end models, like data scarcity and lack of melody control, by separating lyric-to-template and template-to-melody processes.