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Seesaw Loss.pdf

Wang_Seesaw_Loss_for_Long-Tailed_Instance_Segmentation_CVPR_2021_paper.pdf
Preview of Seesaw Loss
🔗 Source: openaccess.thecvf.com
📊 Size: 1.21 MB
👤 Author: Jiaqi Wang, Wenwei Zhang, Yuhang Zang, Yuhang Cao, Jiangmiao Pang, Tao Gong, Kai Chen, Ziwei
⬇️ Downloads: 201

Summary

Seesaw Loss is proposed to tackle long-tailed instance segmentation by dynamically re-balancing gradients of positive and negative samples for each category with two complementary factors: mitigation factor and compensation factor, achieving state-of-the-art performance on LVIS dataset.

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Description

Seesaw Loss is proposed to tackle long-tailed instance segmentation by dynamically re-balancing gradients of positive and negative samples for each category...

Technical Information

  • File Format: PDF
  • File Size: 1.21 MB
  • Pages: 10
  • Language: EN
  • Author: Jiaqi Wang, Wenwei Zhang, Yuhang Zang, Yuhang Cao, Jiangmiao Pang, Tao Gong, Kai Chen, Ziwei
  • Total Downloads: 201
  • Last Updated: 6 days ago

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