Deep High-Resolution Representation Learning for Visual Recognition
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- Type
- preprint
- Published
- 2019-08-20
- Cited by
- 5,006
- References
- 197
- Access
- Open access
- OpenAlex
- https://openalex.org/W2969825080
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:201124533
Keywords
Subnetwork, Computer science, Representation (politics), Artificial intelligence, ENCODE
References
- Locally Scale-Invariant Convolutional Neural Networks
- Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
- BoxSup: Exploiting Bounding Boxes to Supervise Convolutional Networks for Semantic Segmentation
- Very Deep Convolutional Networks for Large-Scale Image Recognition
- Learning Deconvolution Network for Semantic Segmentation
- Scale-Invariant Convolutional Neural Networks
- Cascaded Collaborative Regression for Robust Facial Landmark Detection Trained Using a Mixture of Synthetic and Real Images With Dynamic Weighting
- Fully convolutional networks for semantic segmentation
- SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
- Efficient object localization using Convolutional Networks
- Face alignment by coarse-to-fine shape searching
- Localizing Parts of Faces Using a Consensus of Exemplars
- Face Alignment by Explicit Shape Regression
- Face Alignment at 3000 FPS via Regressing Local Binary Features
- Occlusion Coherence: Localizing Occluded Faces with a Hierarchical Deformable Part Model
- Annotated Facial Landmarks in the Wild: A large-scale, real-world database for facial landmark localization
- Face detection, pose estimation, and landmark localization in the wild
- 300 Faces in-the-Wild Challenge: The First Facial Landmark Localization Challenge
- One millisecond face alignment with an ensemble of regression trees
- Learn to Combine Multiple Hypotheses for Accurate Face Alignment
Cited by
- Effects of Image Quality on the Accuracy Human Pose Estimation and Detection of Eye Lid Opening/Closing Using Openpose and DLib
- Neonatal Face and Facial Landmark Detection from Video Recordings
- Semantic Image Segmentation by Scale-Adaptive Networks
- Face Detection with Feature Pyramids and Landmarks
- Learning Effective Visual Relationship Detector on 1 GPU
- Efficient Differentiable Neural Architecture Search with Meta Kernels
- SpineNet: Learning Scale-Permuted Backbone for Recognition and Localization
- FasterSeg: Searching for Faster Real-time Semantic Segmentation
- A Comprehensive Analysis of Weakly-Supervised Semantic Segmentation in Different Image Domains
- Learning 3D Human Shape and Pose From Dense Body Parts
- Fast Neural Network Adaptation via Parameter Remapping and Architecture Search
- Enhancing semantic segmentation with detection priors and iterated graph cuts for robotics
- Proposal Learning for Semi-Supervised Object Detection
- MTI-Net: Multi-Scale Task Interaction Networks for Multi-Task Learning
- Bayesian Optimization-Based Global Optimal Rank Selection for Compression of Convolutional Neural Networks
- Object Detection with Deep Neural Networks for Reinforcement Learning in the Task of Autonomous Vehicles Path Planning at the Intersection
- Novelty-Prepared Few-Shot Classification
- Galaxy Image Classification Based on Citizen Science Data: A Comparative Study
- Pixel-in-Pixel Net: Towards Efficient Facial Landmark Detection in the Wild
- Interdependent Multi-task Learning for Simultaneous Segmentation and Detection
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