Cascade R-CNN: Delving Into High Quality Object Detection
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- Type
- preprint
- Published
- 2017-12-03
- Cited by
- 6,419
- References
- 38
- Access
- Open access
- OpenAlex
- https://openalex.org/W2772955562
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:206596979
Keywords
Overfitting, Detector, Cascade, Computer science, Artificial intelligence
References
- The Foundations of Cost-Sensitive Learning
- Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
- You Only Look Once: Unified, Real-Time Object Detection
- Very Deep Convolutional Networks for Large-Scale Image Recognition
- AttentionNet: Aggregating Weak Directions for Accurate Object Detection
- Object Detection via a Multi-region and Semantic Segmentation-Aware CNN Model
- A convolutional neural network cascade for face detection
- Face Alignment by Explicit Shape Regression
- Selective Search for Object Recognition
- Learn to Combine Multiple Hypotheses for Accurate Face Alignment
- Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
- Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition
- Cost-Sensitive Boosting
- Cascaded pose regression
- Robust Real-Time Face Detection
- Caffe: Convolutional Architecture for Fast Feature Embedding
- Object Detection with Discriminatively Trained Part Based Models
- LocNet: Improving Localization Accuracy for Object Detection
- Deep Residual Learning for Image Recognition
- Instance-Aware Semantic Segmentation via Multi-task Network Cascades
Cited by
- Deep Regionlets for Object Detection
- Revisiting RCNN: On Awakening the Classification Power of Faster RCNN
- CornerNet: Detecting Objects as Paired Keypoints
- Hybrid Knowledge Routed Modules for Large-scale Object Detection
- Recent Advances in Object Detection in the Age of Deep Convolutional Neural Networks
- A Cascade Coupled Convolutional Neural Network Guided Visual Attention Method for Ship Detection From SAR Images
- Softer-NMS: Rethinking Bounding Box Regression for Accurate Object Detection
- Geometry-Aware Traffic Flow Analysis by Detection and Tracking
- Triply Supervised Decoder Networks for Joint Detection and Segmentation
- Decoupled Classification Refinement: Hard False Positive Suppression for Object Detection
- Solution for Large-Scale Hierarchical Object Detection Datasets with Incomplete Annotation and Data Imbalance
- M2Det: A Single-Shot Object Detector based on Multi-Level Feature Pyramid Network
- ICPR2018 Contest on Object Detection in Aerial Images (ODAI-18)
- Utilizing Complex-valued Network for Learning to Compare Image Patches
- Decomposed Attention: Self-Attention with Linear Complexities
- Anchor Box Optimization for Object Detection
- AutoFocus: Efficient Multi-Scale Inference
- ICPR2018 Contest on Robust Reading for Multi-Type Web Images
- Automatic Detection of Transformer Components in Inspection Images Based on Improved Faster R-CNN
- Siamese Cascaded Region Proposal Networks for Real-Time Visual Tracking
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