triplet-attention
Official PyTorch Implementation for "Rotate to Attend: Convolutional Triplet Attention Module." [WACV 2021]
Apply a new attention mechanism in computer vision tasks to enhance model performance.
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Free · no card · unsubscribe anytimeOfficial PyTorch Implementation for "Rotate to Attend: Convolutional Triplet Attention Module." [WACV 2021]
triplet-attention has 441 stars on GitHub. It has been forked 51 times. triplet-attention is written mainly in Jupyter Notebook. It has been in active development since 2020. triplet-attention is available under the MIT license. Its main topics are arxiv, attention-mechanism, attention-mechanisms, computer-vision.
What is triplet-attention?
Official PyTorch Implementation for "Rotate to Attend: Convolutional Triplet Attention Module." [WACV 2021]
Is triplet-attention open source?
triplet-attention is an open-source project. It is released under the MIT license.
Is triplet-attention free?
Yes. triplet-attention is free and open source — you can use, modify and self-host it.
What license does triplet-attention use?
triplet-attention is available under the MIT license.
What language is triplet-attention written in?
triplet-attention is written mainly in Jupyter Notebook.
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