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Highly accurate optical flow estimation on superpixel tree

  • Published:2016-08 Issue: Volume:52 Page:167-177
  • ISSN:0262-8856
  • Container-title:Image and Vision Computing
  • language:en
  • Short-container-title:Image and Vision Computing

Author:

Hu Yinlin,Song Rui,Li Yunsong,Rao Peng,Wang Yangli

Funder

NSFC

111 Project

Program of Innovative Research Team in Shaanxi Province

Fundamental Research Funds for the Central Universities

Key Laboratory of Infrared System Detection and Imaging Technology, Shanghai Institute of Technical Physics, Chinese Academy of Sciences

Publisher

Elsevier BV

Subject

Computer Vision and Pattern Recognition,Signal Processing

Reference38 articles.

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1. Rethinking superpixel segmentation from biologically inspired mechanisms;Applied Soft Computing;2024-05

2. Hybrid time-spatial video saliency detection method to enhance human action recognition systems;Multimedia Tools and Applications;2024-02-14

3. APENet: Adaptive Pyramid Pooling and SE Network for Superpixel Segmentation;2023 4th International Conference on Computer Vision, Image and Deep Learning (CVIDL);2023-05-12

4. Hybrid transformer-CNN networks using superpixel segmentation for remote sensing building change detection;International Journal of Remote Sensing;2023-04-18

5. Superpixel segmentation with squeeze-and-excitation networks;Signal, Image and Video Processing;2022-01-06
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