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Found 7 papers, 4 papers with code
Discrete Messages Improve Communication Efficiency among Isolated Intelligent Agents
Individuals, despite having varied life experiences and learning processes, can communicate effectively through languages.
Are We Ready for Vision-Centric Driving Streaming Perception? The ASAP Benchmark
To mitigate the problem, we propose the Autonomous-driving StreAming Perception (ASAP) benchmark, which is the first benchmark to evaluate the online performance of vision-centric perception in autonomous driving.
Crafting Monocular Cues and Velocity Guidance for Self-Supervised Multi-Frame Depth Learning
In contrast, multi-frame depth estimation methods improve the depth accuracy thanks to the success of Multi-View Stereo (MVS), which directly makes use of geometric constraints.
PMFL: Partial Meta-Federated Learning for heterogeneous tasks and its applications on real-world medical records
Federated machine learning is a versatile and flexible tool to utilize distributed data from different sources, especially when communication technology develops rapidly and an unprecedented amount of data could be collected on mobile devices nowadays.
A trained humanoid robot can perform human-like crossmodal social attention and conflict resolution
Our saliency prediction model was trained to detect social cues, predict audio-visual saliency, and attend selectively for the robot study.
Video Based Fall Detection Using Human Poses
Video based fall detection accuracy has been largely improved due to the recent progress on deep convolutional neural networks.
Federated machine learning with Anonymous Random Hybridization (FeARH) on medical records
Sometimes electrical medical records are restricted and difficult to centralize for machine learning, which could only be trained in distributed manner that involved many institutions in the process.
