Fast R-CNN

@article{Girshick2015FastR,
  title={Fast R-CNN},
  author={Ross B. Girshick},
  journal={2015 IEEE International Conference on Computer Vision (ICCV)},
  year={2015},
  pages={1440-1448}
}
  • Ross B. Girshick
  • Published 2015
  • Computer Science
  • 2015 IEEE International Conference on Computer Vision (ICCV)
  • This paper proposes a Fast Region-based Convolutional Network method (Fast R-CNN) for object detection. Fast R-CNN builds on previous work to efficiently classify object proposals using deep convolutional networks. Compared to previous work, Fast R-CNN employs several innovations to improve training and testing speed while also increasing detection accuracy. Fast R-CNN trains the very deep VGG16 network 9x faster than R-CNN, is 213x faster at test-time, and achieves a higher mAP on PASCAL VOC… CONTINUE READING
    9,907 Citations

    Figures, Tables, and Topics from this paper

    Study of object detection based on Faster R-CNN
    • 10
    IE 534 Final Project : Faster R-CNN
    • PDF
    Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
    • 21,114
    • PDF
    R-FCN: Object Detection via Region-based Fully Convolutional Networks
    • 2,834
    • Highly Influenced
    • PDF
    Relief R-CNN: Utilizing Convolutional Features for Fast Object Detection
    • 7
    • Highly Influenced
    • PDF
    Relief R-CNN: Utilizing Convolutional Feature Interrelationship for Fast Object Detection Deployment
    • Highly Influenced
    • PDF
    Refining faster-RCNN for accurate object detection
    • 22
    Atrous Faster R-CNN for Small Scale Object Detection
    • Tongfan Guan, H. Zhu
    • Computer Science
    • 2017 2nd International Conference on Multimedia and Image Processing (ICMIP)
    • 2017
    • 9
    • Highly Influenced
    MRCNN: A stateful Fast R-CNN
    • P. Burlina
    • Computer Science
    • 2016 23rd International Conference on Pattern Recognition (ICPR)
    • 2016
    • 4

    References

    SHOWING 1-10 OF 35 REFERENCES
    Region-Based Convolutional Networks for Accurate Object Detection and Segmentation
    • 1,168
    • PDF
    Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
    • 12,581
    • PDF
    Scalable Object Detection Using Deep Neural Networks
    • 808
    • PDF
    Return of the Devil in the Details: Delving Deep into Convolutional Nets
    • 2,727
    • PDF
    ImageNet classification with deep convolutional neural networks
    • 58,458
    • Highly Influential
    • PDF
    Very Deep Convolutional Networks for Large-Scale Image Recognition
    • 43,795
    • PDF
    segDeepM: Exploiting segmentation and context in deep neural networks for object detection
    • 118
    • Highly Influential
    • PDF
    Caffe: Convolutional Architecture for Fast Feature Embedding
    • 12,496
    • PDF
    What Makes for Effective Detection Proposals?
    • 557
    • Highly Influential
    • PDF
    Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition
    • 3,767
    • Highly Influential
    • PDF