Recent Advances in Object Detection in the Age of Deep Convolutional Neural Networks
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Summary
This article reviews the recent literature on object detection with deep CNN, in a comprehensive way, and provides an in-depth view of these recent advances.
- Type
- preprint
- Published
- 2018-09-10
- Cited by
- 143
- References
- 497
- Access
- Open access
- OpenAlex
- https://openalex.org/W2891004411
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:52183570
Keywords
Convolutional neural network, Computer science, Artificial intelligence, Deep learning, Object (grammar)
References
- ADADELTA: An Adaptive Learning Rate Method
- text Detection with Convolutional Neural Networks
- FDDB: A benchmark for face detection in unconstrained settings
- Never-Ending Learning
- End-to-End People Detection in Crowded Scenes
- Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
- Learning to Segment Object Candidates
- You Only Look Once: Unified, Real-Time Object Detection
- Synthetic Data and Artificial Neural Networks for Natural Scene Text Recognition
- Deep learning for class-generic object detection
- DenseNet: Implementing Efficient ConvNet Descriptor Pyramids
- DeepBox: Learning Objectness with Convolutional Networks
- Self-taught object localization with deep networks
- Scalable, High-Quality Object Detection
- Fast Multiclass Vehicle Detection on Aerial Images
- One weird trick for parallelizing convolutional neural networks
- Fine-grained evaluation on face detection in the wild
- Object localization in ImageNet by looking out of the window
- A Trainable System for Object Detection
- Very Deep Convolutional Networks for Large-Scale Image Recognition
Cited by
- VisKit: Web-Based Interactive IoT Management with Deep Visual Object Detection
- DC-SPP-YOLO: Dense Connection and Spatial Pyramid Pooling Based YOLO for Object Detection
- Detection of Boulders in Side Scan Sonar Mosaics by a Neural Network
- Fast object detection in compressed JPEG Images
- Object Detection in 20 Years: A Survey
- A Real-Time Tiny Detection Model for Stem End and Blossom End of Navel Orange
- Pedestrian and Cyclist Detection and Intent Estimation for Autonomous Vehicles: A Survey
- Deep Learning for Picking Seismic Arrival Times
- Precise Ship Location With CNN Filter Selection From Optical Aerial Images
- Analysis of the convolutional neural network architectures in image classification problems
- Imbalance Problems in Object Detection: A Review
- Modular Lightweight Network for Road Object Detection Using a Feature Fusion Approach
- Comparative study on the effectiveness of various types of road traffic intensity detectors
- FSD: feature skyscraper detector for stem end and blossom end of navel orange
- Occupancy Grids Generation Using Deep Radar Network for Autonomous Driving
- Investigating Low Level Features in CNN for Traffic Sign Detection and Recognition
- Object Detection in Optical Remote Sensing Images: A Survey and A New Benchmark
- Perspective Transformation Data Augmentation for Object Detection
- Facial Expression Based Emotion Recognition Employing YOLOv3 Deep Neural Networks
- Recent Advances in Deep Learning for Object Detection
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