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Accel: A Corrective Fusion Network for Efficient Semantic Segmentation
  on Video

Accel: A Corrective Fusion Network for Efficient Semantic Segmentation on Video

17 July 2018
Samvit Jain
Xin Eric Wang
Joseph E. Gonzalez
    VOS
ArXivPDFHTML

Papers citing "Accel: A Corrective Fusion Network for Efficient Semantic Segmentation on Video"

14 / 14 papers shown
Title
Zero-Shot Scene Change Detection
Zero-Shot Scene Change Detection
Kyusik Cho
Dong Yeop Kim
Euntai Kim
33
1
0
17 Jun 2024
MCDS-VSS: Moving Camera Dynamic Scene Video Semantic Segmentation by
  Filtering with Self-Supervised Geometry and Motion
MCDS-VSS: Moving Camera Dynamic Scene Video Semantic Segmentation by Filtering with Self-Supervised Geometry and Motion
Angel Villar-Corrales
Moritz Austermann
Sven Behnke
VOS
34
0
0
30 May 2024
Motion-Corrected Moving Average: Including Post-Hoc Temporal Information
  for Improved Video Segmentation
Motion-Corrected Moving Average: Including Post-Hoc Temporal Information for Improved Video Segmentation
R. Mendel
Tobias Rueckert
Dirk Wilhelm
Daniel Rueckert
Christoph Palm
22
0
0
05 Mar 2024
Vanishing-Point-Guided Video Semantic Segmentation of Driving Scenes
Vanishing-Point-Guided Video Semantic Segmentation of Driving Scenes
Diandian Guo
Deng-Ping Fan
Tongyu Lu
Christos Sakaridis
Luc Van Gool
VOS
16
2
0
27 Jan 2024
Efficient Semantic Segmentation by Altering Resolutions for Compressed
  Videos
Efficient Semantic Segmentation by Altering Resolutions for Compressed Videos
Yubin Hu
Yuze He
Yanghao Li
Jisheng Li
Yuxing Han
Jiangtao Wen
Y. Liu
VOS
18
11
0
13 Mar 2023
Video Unsupervised Domain Adaptation with Deep Learning: A Comprehensive
  Survey
Video Unsupervised Domain Adaptation with Deep Learning: A Comprehensive Survey
Yuecong Xu
Haozhi Cao
Zhenghua Chen
Xiaoli Li
Lihua Xie
Jianfei Yang
19
14
0
17 Nov 2022
MotionDeltaCNN: Sparse CNN Inference of Frame Differences in Moving
  Camera Videos
MotionDeltaCNN: Sparse CNN Inference of Frame Differences in Moving Camera Videos
Mathias Parger
Chengcheng Tang
Thomas Neff
Christopher D. Twigg
Cem Keskin
Robert Y. Wang
M. Steinberger
8
6
0
18 Oct 2022
Learning Local and Global Temporal Contexts for Video Semantic
  Segmentation
Learning Local and Global Temporal Contexts for Video Semantic Segmentation
Guolei Sun
Yun Liu
Henghui Ding
Min Wu
Luc Van Gool
25
32
0
07 Apr 2022
RankSeg: Adaptive Pixel Classification with Image Category Ranking for
  Segmentation
RankSeg: Adaptive Pixel Classification with Image Category Ranking for Segmentation
Hao He
Yuhui Yuan
Xiangyu Yue
Han Hu
VOS
VLM
19
13
0
08 Mar 2022
Efficient Video Segmentation Models with Per-frame Inference
Efficient Video Segmentation Models with Per-frame Inference
Yifan Liu
Chunhua Shen
Changqian Yu
Jingdong Wang
16
0
0
24 Feb 2022
AuxAdapt: Stable and Efficient Test-Time Adaptation for Temporally
  Consistent Video Semantic Segmentation
AuxAdapt: Stable and Efficient Test-Time Adaptation for Temporally Consistent Video Semantic Segmentation
Yizhe Zhang
Shubhankar Borse
H. Cai
Fatih Porikli
VOS
TTA
22
40
0
24 Oct 2021
Temporally stable video segmentation without video annotations
Temporally stable video segmentation without video annotations
Aharon Azulay
Tavi Halperin
O. Vantzos
Nadav Bornstein
Ofir Bibi
VOS
20
3
0
17 Oct 2021
A Survey on Deep Learning Technique for Video Segmentation
A Survey on Deep Learning Technique for Video Segmentation
Tianfei Zhou
Fatih Porikli
David J. Crandall
Luc Van Gool
Wenguan Wang
VOS
20
228
0
02 Jul 2021
BasicVSR: The Search for Essential Components in Video Super-Resolution
  and Beyond
BasicVSR: The Search for Essential Components in Video Super-Resolution and Beyond
Kelvin C. K. Chan
Xintao Wang
Ke Yu
Chao Dong
Chen Change Loy
SupR
18
439
0
03 Dec 2020
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