In this study, we focus on how to use this encoder-decoder structure to deliver meaningful representation throughout the entire network. We propose a new ...

In this study, we focus on how to use this encoder–decoder structure to deliver meaningful representation throughout the entire network. We propose a new ...

In this study, we focus on how to use this encoder-decoder structure to deliver meaningful representation throughout the entire network.

This work proposes a new network architecture with suggested modules to create a more accurate depth map by bridging the context between the encoding and ...

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Oct 25, 2024 · Depth maps provide a compact intermediate scene representation useful for decision making in physical surroundings. Recovering depth data ...

Depth values in di can be discretized into Nb bins to capture the meaningful depth distribution. Then, for every discretized depth value d (i.e., the index.

Nov 16, 2021 · The paper seeks to consider the depth information for improving the accuracy of monocular 3D object detection, by modeling the error of depth ...

The VAE learns a compact and mean- ingful representation of the image in the latent space, which becomes the input to the next steps in our methodology [17].

Missing: Delivering Meaningful Representation