Abstract: This paper proposes a novel variational inference framework, SCVAE, for cardiac image segmentation. SCVAE embeds a manifold space between the image space and the image representation space ...
Using the Triton Inference Server In-Process Python API you can integrate triton server based models into any Python framework to consume the messages from a Kafka topic and produce the inference ...
Abstract: Video Super-Resolution (VSR) aims to restore high-quality video frames from low-resolution (LR) estimates, yet most existing VSR approaches behave like black boxes at inference time: users ...
Abstract: While data-driven learning techniques are revolutionizing the smart application design and development, fundamental issues of lacking generalizability and interpretability are posing great ...
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