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Mask R-CNN with Feature Pyramid Attention for Instance Segmentation

https://doi.org/10.1109/icsp.2018.8652371
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-319-10584-0_23openalex-snapshot
Learning Rich Features from RGB-D Images for Object Detection and Segmentation
inferredcites →https://doi.org/10.1007/978-3-319-46448-0_5openalex-snapshot
Learning to Refine Object Segments
inferredcites →https://doi.org/10.1007/978-3-319-46484-8_29openalex-snapshot
Stacked Hourglass Networks for Human Pose Estimation
inferredcites →https://doi.org/10.1007/s11263-013-0620-5openalex-snapshot
Selective Search for Object Recognition
inferredcites →https://doi.org/10.1109/cvpr.2015.7298965openalex-snapshot
Fully convolutional networks for semantic segmentation
inferredcites →https://doi.org/10.1109/cvpr.2015.7299025openalex-snapshot
Convolutional feature masking for joint object and stuff segmentation
inferredcites →https://doi.org/10.1109/cvpr.2016.343openalex-snapshot
Instance-Aware Semantic Segmentation via Multi-task Network Cascades
inferredcites →https://doi.org/10.1109/cvpr.2017.472openalex-snapshot
Fully Convolutional Instance-Aware Semantic Segmentation
inferredcites →https://doi.org/10.1109/cvpr.2017.660openalex-snapshot
Pyramid Scene Parsing Network
inferredcites →https://doi.org/10.1109/cvpr.2018.00747openalex-snapshot
Context Encoding for Semantic Segmentation
inferredcites →https://doi.org/10.1109/iccv.2015.162openalex-snapshot
Semantic Image Segmentation via Deep Parsing Network
inferredcites →https://doi.org/10.1109/iccv.2017.322openalex-snapshot
Mask R-CNN
inferredcites →https://doi.org/10.1109/tpami.2016.2537320openalex-snapshot
Multiscale Combinatorial Grouping for Image Segmentation and Object Proposal Generation
inferredcites →https://doi.org/10.1109/tpami.2016.2572683openalex-snapshot
Fully Convolutional Networks for Semantic Segmentation
inferredcites →https://doi.org/10.1109/tpami.2016.2577031openalex-snapshot
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
inferredcites →https://doi.org/10.48550/arxiv.1506.06204openalex-snapshot
Learning to Segment Object Candidates
inferredcites →https://doi.org/10.48550/arxiv.1706.05587openalex-snapshot
Rethinking Atrous Convolution for Semantic Image Segmentation
inferredcites →https://doi.org/10.48550/arxiv.1805.10180openalex-snapshot
Pyramid Attention Network for Semantic Segmentation

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Lightcnn-Consistent Makeup Transfer on Generative Adversarial Networks⋆
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Using Deep Learning on Satellite Images to Identify Deforestation/Afforestation
inferred← citeshttps://doi.org/10.1007/978-3-032-28478-5_18openalex-snapshot
ML Techniques for Hairstyle Prediction
inferred← citeshttps://doi.org/10.1007/s11042-023-15441-7openalex-snapshot
Deep cross-domain transfer for emotion recognition via joint learning
inferred← citeshttps://doi.org/10.1007/s11063-022-10762-4openalex-snapshot
Real-Time Detection Network SI-SSD for Weak Targets in Complex Traffic Scenarios
inferred← citeshttps://doi.org/10.1016/j.aej.2024.09.087openalex-snapshot
Multi-channel depth segmentation network based on 3D graph convolution algorithm and its application in point cloud segmentation
inferred← citeshttps://doi.org/10.1016/j.autcon.2020.103357openalex-snapshot
A spatial-channel hierarchical deep learning network for pixel-level automated crack detection
inferred← citeshttps://doi.org/10.1016/j.bspc.2021.102488openalex-snapshot
A multiscale residual pyramid attention network for medical image fusion
inferred← citeshttps://doi.org/10.1109/access.2020.2976432openalex-snapshot
Mask R-CNN-Based Detection and Segmentation for Pulmonary Nodule 3D Visualization Diagnosis
inferred← citeshttps://doi.org/10.1109/eebda53927.2022.9744965openalex-snapshot
Intelligent interactive test system for the human-machine interface function of electric vehicle charging piles based on computer vision
inferred← citeshttps://doi.org/10.1109/eecsi63442.2024.10776322openalex-snapshot
A Comprehensive Review of Image Segmentation Architectures
inferred← citeshttps://doi.org/10.1109/ict49546.2020.9239443openalex-snapshot
Water Sprouts Detection of Cacao Tree Using Mask Region-based Convolutional Neural Network
inferred← citeshttps://doi.org/10.1145/3358331.3358338openalex-snapshot
Embossed Characters Enhancement Based on Convolutional Neural Network
inferred← citeshttps://doi.org/10.18517/ijaseit.13.2.16468openalex-snapshot
Increasing Precision of Water Sprout Detection based on Mask R-CNN with Data Augmentation
inferred← citeshttps://doi.org/10.3390/ani12131670openalex-snapshot
Automated Cardiac Chamber Size and Cardiac Physiology Measurement in Water Fleas by U-Net and Mask RCNN Convolutional Networks
inferred← citeshttps://doi.org/10.3390/electronics11121887openalex-snapshot
Development of a Hairstyle Conversion System Based on Mask R-CNN
inferred← citeshttps://doi.org/10.3390/land12122142openalex-snapshot
Recognition and Spatial Distribution of Rural Buildings in Vietnam
inferred← citeshttps://doi.org/10.3390/rs14143362openalex-snapshot
Study of the Automatic Recognition of Landslides by Using InSAR Images and the Improved Mask R-CNN Model in the Eastern Tibet Plateau
inferred← citeshttps://doi.org/10.48550/arxiv.2003.11136openalex-snapshot
Joint Deep Cross-Domain Transfer Learning for Emotion Recognition
inferred← citeshttps://doi.org/10.5204/thesis.eprints.180753openalex-snapshot
Multimodal emotion recognition using deep learning techniques
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