CornerNet: Detecting Objects as Paired Keypoints

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CornerNet: Detecting Objects as Paired Keypoints

• Author: Hei Law, Jia Deng
• Origin: https://arxiv.org/abs/1808.01244
• Related:
  • https://github.com/princeton-vl/CornerNet
  • demo code
  • training on my own pictures
  • How to fine-tunning your pretrained cooco model?
  • CornerNet：目标检测算法新思路
  • Object Detection-CornerNet笔记
  • http://pvl.cs.princeton.edu/

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[39] Denet: Scalable real-time object detection with directed sparse sampling

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Associative Embedding

[27] Associative embedding: End-to-end learning for joint detection and grouping

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"pull" loss and "push" loss

[26] Pixels to graphs by associative embedding.

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hourglass network

[28] Stacked hourglass networks for human pose estimation

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networks similar to the hourglass network.

[35] Beyond skip connections: Top-down modulation for object detection.

[10] Dssd: Deconvolutional single shot detector.

[22] Feature pyramid networks for object detection

[19] Reverse connection with objectness prior networks for object detection

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soft-nms [2]: Soft-nms: improving object detection with one line of code

• https://arxiv.org/abs/1704.04503
• https://github.com/bharatsingh430/soft-nms