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Found 5 papers, 3 papers with code
Sim-to-Real Transfer via 3D Feature Fields for Vision-and-Language Navigation
Vision-and-language navigation (VLN) enables the agent to navigate to a remote location in 3D environments following the natural language instruction.
Lookahead Exploration with Neural Radiance Representation for Continuous Vision-Language Navigation
Vision-and-language navigation (VLN) enables the agent to navigate to a remote location following the natural language instruction in 3D environments.
GridMM: Grid Memory Map for Vision-and-Language Navigation
Vision-and-language navigation (VLN) enables the agent to navigate to a remote location following the natural language instruction in 3D environments.
DSTP-RNN: a dual-stage two-phase attention-based recurrent neural networks for long-term and multivariate time series prediction
The key to solve this problem is to capture the spatial correlations at the same time, the spatio-temporal relationships at different times and the long-term dependence of the temporal relationships between different series.
Real time expert system for anomaly detection of aerators based on computer vision technology and existing surveillance cameras
To tackle these aforementioned challenges, we propose a real-time expert system based on computer vision technology and existing surveillance cameras for anomaly detection of aerators, which consists of two modules, i. e., object region detection and working state detection.
Anomaly Detection
Cultural Vocal Bursts Intensity Prediction
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