Results for "spatial"

Internal representation of environment layout.

Recovering 3D structure from images.

Extension of convolution to graph domains using adjacency structure.

Networks using convolution operations with weight sharing and locality, effective for images and signals.

Using same parameters across different parts of a model.

Neural networks that operate on graph-structured data by propagating information along edges.

Transformer applied to image patches.

Pixel motion estimation between frames.

CNNs applied to time series.

Devices measuring physical quantities (vision, lidar, force, IMU, etc.).

External sensing of surroundings (vision, audio, lidar).

Detecting and avoiding obstacles.

AI predicting crime patterns (highly controversial).

Deep learning system for protein structure prediction.