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SAID-NeRF: Segmentation-AIDed NeRF for Depth Completion of Transparent Objects
Acquiring accurate depth information of transparent objects using off-the-shelf RGB-D cameras is a well-known challenge in Computer Vision and Robotics.
Loss Function Considering Dead Zone for Neural Networks
The proposed method enables to increase in the amount of motion data available for training and the accuracy of the inverse dynamics computation.
Imitation Learning Inputting Image Feature to Each Layer of Neural Network
However, these approaches face a critical challenge when processing data from multiple modalities, inadvertently ignoring data with a lower correlation to the desired output, especially when using short sampling periods.
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