Abstract: The online recommendation of trade resources has further driven the demand for efficient recommendation algorithms, and gradient descent algorithm, as a powerful optimization tool, is widely ...
Rethinking Temporal Fusion with a Unified Gradient Descent View for 3D Semantic Occupancy Prediction
In autonomous driving, understanding the 3D world over time is critical. Yet, most vision-based 3D Occupancy (VisionOcc) methods only scratch the surface of temporal fusion, focusing on simple ...
Abstract: In this study, we propose AlphaGrad, a novel adaptive loss blending strategy for optimizing multi-task learning (MTL) models in motor imagery (MI)-based electroencephalography (EEG) ...
The ground is shifting: Inuit leader issues stark warning about Arctic sovereignty Assailant convicted after Barron Trump calls London police to report crime he saw on video Ontario government to fast ...
State-of-the-art techniques for pavement performance evaluation have attracted considerable attention in recent years. Artificial Neural Networks (ANNs) can simulate the human brain to discover hidden ...
No choppiness between bytestream segments Handles non-real-time streams -- faster and slower than real-time Handles intermittent streams (i.e., streams that may not yield bytes for a while) ...
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