landskape-ai/triplet-attention
Official PyTorch Implementation for "Rotate to Attend: Convolutional Triplet Attention Module." [WACV 2021]
This project offers a specialized module that improves the performance of image-based AI systems. It takes raw image data as input and, when integrated into existing neural networks, it helps them focus on the most relevant parts of the image, leading to more accurate results. Computer vision engineers and researchers who build and deploy image recognition, object detection, and image segmentation models would use this.
439 stars. No commits in the last 6 months.
Use this if you are a computer vision engineer looking to enhance the accuracy and efficiency of your image classification, object detection, or instance segmentation models without a significant increase in computational cost.
Not ideal if your primary goal is to perform general data analysis or machine learning tasks that do not involve complex image processing and deep learning models.
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439
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49
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Jupyter Notebook
License
MIT
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Last pushed
Feb 11, 2025
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