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Found 7 papers, 1 papers with code
PatchFlow: Leveraging a Flow-Based Model with Patch Features
Our method illustrates the potential of leveraging computer vision and deep learning techniques to advance inspection capabilities for the die casting industry.
Hyper-STTN: Social Group-aware Spatial-Temporal Transformer Network for Human Trajectory Prediction with Hypergraph Reasoning
Predicting crowded intents and trajectories is crucial in varouls real-world applications, including service robots and autonomous vehicles.
DenserNet: Weakly Supervised Visual Localization Using Multi-scale Feature Aggregation
In this work, we introduce a Denser Feature Network (DenserNet) for visual localization.
Visual Localization for Autonomous Driving: Mapping the Accurate Location in the City Maze
It is a common practice for vehicles to use GPS to acquire location information.
PENet: Object Detection using Points Estimation in Aerial Images
Aerial imagery has been increasingly adopted in mission-critical tasks, such as traffic surveillance, smart cities, and disaster assistance.
Multiple Learning for Regression in big data
Results showed our approaches can achieve closed-form solutions of multiple models at the cost of half training time of the traditional methods for a single model.
Algae Detection Using Computer Vision and Deep Learning
The proposed system is fast, accurate and cheap, and it can be installed on any robotic platforms such as USVs and UAVs for autonomous algae monitoring.
