Mask Point R-CNN
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Summary
This paper presents an auxiliary task to Mask RCNN, including utilizing keypoint detection technology to construct the target edge contour, and enhancing the sensitivity of the network to the object edge through multi task learning and feature fusion.
- Type
- article
- Published
- 2020-08-02
- Cited by
- 4
- References
- 81
- Access
- Open access
- OpenAlex
- https://openalex.org/W2965545408
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:220935542
Keywords
Computer science, Artificial intelligence, Segmentation, Enhanced Data Rates for GSM Evolution, Task (project management)
References
- Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
- You Only Look Once: Unified, Real-Time Object Detection
- Deep neural networks employing Multi-Task Learning and stacked bottleneck features for speech synthesis
- Multi-view Convolutional Neural Networks for 3D Shape Recognition
- Multi-Task CNN Model for Attribute Prediction
- Rotating your face using multi-task deep neural network
- Multi-task Sparse Learning with Beta Process Prior for Action Recognition
- Multiscale Combinatorial Grouping
- Are we ready for autonomous driving? The KITTI vision benchmark suite
- DeepCut: Joint Subset Partition and Labeling for Multi Person Pose Estimation
- 3D Object Proposals for Accurate Object Class Detection
- Deep Residual Learning for Image Recognition
- Multi-Task Learning with Low Rank Attribute Embedding for Person Re-Identification
- VoxNet: A 3D Convolutional Neural Network for real-time object recognition
- Marching cubes: A high resolution 3D surface construction algorithm
- Deep Sliding Shapes for Amodal 3D Object Detection in RGB-D Images
- Volumetric and Multi-view CNNs for Object Classification on 3D Data
- Training Region-Based Object Detectors with Online Hard Example Mining
- Monocular 3D Object Detection for Autonomous Driving
- Multi-view 3D Object Detection Network for Autonomous Driving
Cited by
- Boundary-Aware Dense Feature Indicator for Single-Stage 3D Object Detection from Point Clouds
- DR-SPAAM: A Spatial-Attention and Auto-regressive Model for Person Detection in 2D Range Data
- A More Compact Object Detector Head Network with Feature Enhancement and Relational Reasoning
- Artificial Intelligence Techniques for Automatic Detection of Peri-implant Marginal Bone Remodeling in Intraoral Radiographs
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