Eyes in the Dark: Distributed Scene Understanding for Disaster Management
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Summary
The most significant advantage in the work is that the proposed method can learn a view-invariant feature with no requirement on RGB data, which is essential for harsh, disordered and changeable environments.
- Type
- article
- Published
- 2017-12-01
- Cited by
- 43
- References
- 48
- Access
- Open access
- OpenAlex
- https://openalex.org/W2746501643
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:39389410
Keywords
Computer science, Convolutional neural network, Artificial intelligence, Robot, Process (computing)
References
- Multimodal deep learning for robust RGB-D object recognition
- RGB-D object recognition and pose estimation based on pre-trained convolutional neural network features
- One weird trick for parallelizing convolutional neural networks
- DeepPano: Deep Panoramic Representation for 3-D Shape Recognition
- Multi-view Convolutional Neural Networks for 3D Shape Recognition
- Volumetric view planning for 3D reconstruction with multiple manipulators
- Parallel Deep Neural Network Training for Big Data on Blue Gene/Q
- View planning for 3D object reconstruction with a mobile manipulator robot
- Share-Frequent Sensor Patterns Mining from Wireless Sensor Network Data
- Ensemble of exemplar-SVMs for object detection and beyond
- Multiscale Combinatorial Grouping
- Global registration of mid-range 3D observations and short range next best views
- BigBIRD: A large-scale 3D database of object instances
- STARS: Static Relays for Remote Sensing in Multirobot Real-Time Search and Monitoring
- Connectivity-Based Boundary Extractionof Large-Scale 3D Sensor Networks:Algorithm and Applications
- Selective Search for Object Recognition
- Going deeper with convolutions
- Convolutional-Recursive Deep Learning for 3D Object Classification
- LOBOT: Low-Cost, Self-Contained Localization of Small-Sized Ground Robotic Vehicles
- Robust Object Recognition with Cortex-Like Mechanisms
Cited by
- Internet of Things for Disaster Management: State-of-the-Art and Prospects
- Learning IoT in Edge: Deep Learning for the Internet of Things with Edge Computing
- Autonomous Vehicle Control Through the Dynamics and Controller Learning
- Humanlike Driving: Empirical Decision-Making System for Autonomous Vehicles
- Sustainable CNN for Robotic: An Offloading Game in the 3D Vision Computation
- Deep Learning for Smart Industry: Efficient Manufacture Inspection System With Fog Computing
- Compressive Sensing Based Multilevel Fast Multipole Acceleration for Fast Scattering Center Extraction and ISAR Imaging
- Energy Balanced Dispatch of Mobile Edge Nodes for Confident Information Coverage Hole Repairing in IoT
- Optimal pricing strategy for resource allocation in 5G heterogeneous cellular networks
- Dual Video Watermarking Algorithm Based on SIFT and HVS in the Contourlet Domain
- Deep Reinforcement Scheduling for Mobile Crowdsensing in Fog Computing
- Threshold Value Determination Using Machine Learning Algorithms for Ba Interference with Eu in Coal and Coal Combustion Products by ICP-MS
- Developing an Algorithm for Scene Understanding and Decision Making Based on Visual Perception
- An Intelligent Packet Forwarding Approach for Disaster Recovery Networks
- Privacy-Preserving Compressive Model for Enhanced Deep-Learning-Based Service Provision System in Edge Computing
- MultiSpectralNet: Spectral Clustering Using Deep Neural Network for Multi-View Data
- Vision-Assisted Autonomous Lower-Limb Exoskeleton Robot
- RaSEC: An Intelligent Framework for Reliable and Secure Multilevel Edge Computing in Industrial Environments
- Joint Task Offloading, CNN Layer Scheduling, and Resource Allocation in Cooperative Computing System
- DeepLite: Real-Time Deep Learning Framework for Neighborhood Analysis
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