Pickl AI

OCTOBER 21, 2024

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.,

Natural Language Processing 52

Natural Language Processing Data Scarcity Computer Vision Machine Learning 52

deepsense.ai

FEBRUARY 6, 2024

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.

Prompt Engineer 105

Prompt Engineer Prompt Engineering NLP Computer Vision 105

deepsense.ai

FEBRUARY 12, 2024

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.

Prompt Engineer 52

Prompt Engineer Prompt Engineering NLP Computer Vision 52

Viso.ai

DECEMBER 15, 2023

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.

Computer Vision 52

Computer Vision Deep Learning AI AI 52