Dynamic Warping Network for Semantic Video Segmentation
A major challenge for semantic video segmentation is how to exploit the spatiotemporal information and produce consistent results for a video sequence. Many previous works utilize the precomputed optical flow to warp the feature maps across adjacent frames. However, the imprecise optical flow and th...
Saved in:
Main Authors: | Jiangyun Li, Yikai Zhao, Xingjian He, Xinxin Zhu, Jing Liu |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2021-01-01
|
Series: | Complexity |
Online Access: | http://dx.doi.org/10.1155/2021/6680509 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Scene-Aware Deep Networks for Semantic Segmentation of Images
by: Zhike Yi, et al.
Published: (2019-01-01) -
Development of an individual warp beam tension control system for warp assembling machines in direct warp preparation
by: Recep Eren, et al.
Published: (2025-02-01) -
Dynamic-budget superpixel active learning for semantic segmentation
by: Yuemin Wang, et al.
Published: (2025-01-01) -
A 3D semantic segmentation network for accurate neuronal soma segmentation
by: Li Ma, et al.
Published: (2025-01-01) -
Erratum — A 3D semantic segmentation network for accurate neuronal soma segmentation
by: Li Ma, et al.
Published: (2025-01-01)