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Found 3 papers, 1 papers with code
Unsupervised Intrinsic Image Decomposition with LiDAR Intensity Enhanced Training
To address this challenge, we propose a novel approach that utilizes only an image during inference while utilizing an image and LiDAR intensity during training.
End-to-end learning potentials for structured attribute prediction
We present a structured inference approach in deep neural networks for multiple attribute prediction.
Automatic Attribute Discovery with Neural Activations
This paper proposes an automatic approach to discover and analyze visual attributes from a noisy collection of image-text data on the Web.
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