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Found 5 papers, 1 papers with code
Loss Functions in the Era of Semantic Segmentation: A Survey and Outlook
Semantic image segmentation, the process of classifying each pixel in an image into a particular class, plays an important role in many visual understanding systems.
Variational Network Quantization
In this paper, the preparation of a neural network for pruning and few-bit quantization is formulated as a variational inference problem.
EVO-RL: Evolutionary-Driven Reinforcement Learning
Furthermore, we propose that this distinction is decided by the evolutionary process, thus allowing evo-RL to be adaptive to different environments.
Wireless Powered Short Packet Communications with Multiple WPT Sources
Moreover, we extend our design into a dynamic frame structure scenario, i. e., the blocklength allocated for WPT phase and short-packet transmission phase are adjustable, which introduces more flexibility and new challenges to the system design.
LiteVSR: Efficient Visual Speech Recognition by Learning from Speech Representations of Unlabeled Data
This paper proposes a novel, resource-efficient approach to Visual Speech Recognition (VSR) leveraging speech representations produced by any trained Automatic Speech Recognition (ASR) model.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
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