A Survey of Deep Learning-Based Object Detection
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Summary
This survey provides a comprehensive overview of a variety of object detection methods in a systematic manner, covering the one-stage and two-stage detectors, and lists the traditional and new applications.
- Type
- article
- Published
- 2019-07-11
- Cited by
- 1,160
- References
- 320
- Access
- Open access
- OpenAlex
- https://openalex.org/W2972006294
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:198147317
Keywords
Computer science, Object detection, Artificial intelligence, Deep learning, Computer vision
References
- Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
- Traffic sign recognition system
- You Only Look Once: Unified, Real-Time Object Detection
- Show, Attend and Tell: Neural Image Caption Generation with Visual Attention
- Fast Multiclass Vehicle Detection on Aerial Images
- Change-Point Detection in Time-Series Data by Relative Density-Ratio Estimation
- Very Deep Convolutional Networks for Large-Scale Image Recognition
- AttentionNet: Aggregating Weak Directions for Accurate Object Detection
- Fine-Grained Visual Classification of Aircraft
- Show and tell: A neural image caption generator
- A MRF shape prior for facade parsing with occlusions
- Combining local appearance and holistic view: Dual-Source Deep Neural Networks for human pose estimation
- Saliency-aware geodesic video object segmentation
- Multi-task deep visual-semantic embedding for video thumbnail selection
- Efficient Structured Parsing of Facades Using Dynamic Programming
- Spatiotemporal Saliency Detection for Video Sequences Based on Random Walk With Restart
- Geometric Image Parsing in Man-Made Environments
- Multimodal Graph-based Event Detection and Summarization in Social Media Streams
- Online Detection of Repeated Structures in Point Clouds of Urban Scenes for Compression and Registration
- Multi-source Deep Learning for Human Pose Estimation
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- Deep Learning for Medical Image Segmentation
- MAT-Fly: An Educational Platform for Simulating Unmanned Aerial Vehicles Aimed to Detect and Track Moving Objects
- On-Device Machine Learning: An Algorithms and Learning Theory Perspective
- On the computation of counterfactual explanations - A survey
- Deep CMST Framework for the Autonomous Recognition of Heavily Occluded and Cluttered Baggage Items from Multivendor Security Radiographs
- Improved Few-Shot Visual Classification
- Object Detection with Low Capacity GPU Systems Using Improved Faster R-CNN
- Cascaded Structure Tensor Framework for Robust Identification of Heavily Occluded Baggage Items from Multi-Vendor X-ray Scans
- ERA: A Data Set and Deep Learning Benchmark for Event Recognition in Aerial Videos [Software and Data Sets]
- Object Detection on Single Monocular Images through Canonical Correlation Analysis
- Early Monitoring of Exotic Mangrove Sonneratia in Hong Kong Using Deep Convolutional Network at Half-Meter Resolution
- Deep neural network-based cost function for metal cutting data assimilation
- Image-based fluid data assimilation with deep neural network
- Towards Deep Object Detection Techniques for Phoneme Recognition
- Deep Learning Based Application for Indoor Scene Recognition
- Recent advances in small object detection based on deep learning: A review
- Effect of Annotation Errors on Drone Detection with YOLOv3
- LUVLi Face Alignment: Estimating Landmarks’ Location, Uncertainty, and Visibility Likelihood
- IDDA: A Large-Scale Multi-Domain Dataset for Autonomous Driving
- A Multi-Class Multi-Movement Vehicle Counting Framework for Traffic Analysis in Complex Areas Using CCTV Systems
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