Path Aggregation Network for Instance Segmentation
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- Type
- preprint
- Published
- 2018-03-05
- Cited by
- 8,102
- References
- 69
- Access
- Open access
- OpenAlex
- https://openalex.org/W2793693263
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:3698141
Keywords
Computer science, Pooling, Feature (linguistics), Segmentation, Path (computing)
References
- Monocular Object Instance Segmentation and Depth Ordering with CNNs
- Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
- Learning to Segment Object Candidates
- Very Deep Convolutional Networks for Large-Scale Image Recognition
- Learning Deconvolution Network for Semantic Segmentation
- ParseNet: Looking Wider to See Better
- Fully convolutional networks for semantic segmentation
- Convolutional feature masking for joint object and stuff segmentation
- Object Detection via a Multi-region and Semantic Segmentation-Aware CNN Model
- Hypercolumns for object segmentation and fine-grained localization
- Multiscale Combinatorial Grouping
- The Pascal Visual Object Classes (VOC) Challenge
- Selective Search for Object Recognition
- Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
- Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition
- Object Detection Networks on Convolutional Feature Maps
- Caffe: Convolutional Architecture for Fast Feature Embedding
- ImageNet classification with deep convolutional neural networks
- Recurrent Instance Segmentation
- Deep Residual Learning for Image Recognition
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- ME R-CNN: Multi-Expert R-CNN for Object Detection
- PersonLab: Person Pose Estimation and Instance Segmentation with a Bottom-Up, Part-Based, Geometric Embedding Model
- Outline Objects using Deep Reinforcement Learning
- Pyramid Attention Network for Semantic Segmentation
- Data-Driven Visual Forecasting
- 3-D RoI-Aware U-Net for Accurate and Efficient Colorectal Tumor Segmentation
- Semantic Instance Meets Salient Object: Study on Video Semantic Salient Instance Segmentation
- Multi-layer Representation Fusion for Neural Machine Translation
- Instance Segmentation by Deep Coloring
- A deep learning based tracking framework for passenger monitoring
- Faster Training of Mask R-CNN by Focusing on Instance Boundaries
- Panoptic Segmentation with a Joint Semantic and Instance Segmentation Network
- Deep Convolutional Neural Networks for Automated Characterization of Arctic Ice-Wedge Polygons in Very High Spatial Resolution Aerial Imagery
- The ApolloScape Open Dataset for Autonomous Driving and Its Application
- Learning 3D Scene Semantics and Structure from a Single Depth Image
- Person Part Segmentation based on Weak Supervision
- Solution for Large-Scale Hierarchical Object Detection Datasets with Incomplete Annotation and Data Imbalance
- Efficient Video Understanding via Layered Multi Frame-Rate Analysis
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