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Found 3 papers, 1 papers with code
BLoad: Enhancing Neural Network Training with Efficient Sequential Data Handling
The increasing complexity of modern deep neural network models and the expanding sizes of datasets necessitate the development of optimized and scalable training methods.
DDS: Decoupled Dynamic Scene-Graph Generation Network
Scene-graph generation involves creating a structural representation of the relationships between objects in a scene by predicting subject-object-relation triplets from input data.
UAV Sensor Fusion With Latent-Dynamic Conditional Random Fields in Coronal Plane Estimation
We present a real-time body orientation estimation in a micro-Unmanned Air Vehicle video stream.
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