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A survey of image labelling for computer vision applications

A survey of image labelling for computer vision applications

18 April 2021
Christoph Sager
Christian Janiesch
Patrick Zschech
    VLM
ArXivPDFHTML

Papers citing "A survey of image labelling for computer vision applications"

7 / 7 papers shown
Title
SpatialDreamer: Self-supervised Stereo Video Synthesis from Monocular Input
SpatialDreamer: Self-supervised Stereo Video Synthesis from Monocular Input
Zhen Lv
Yangqi Long
Congzhentao Huang
Cao Li
Chengfei Lv
Hao Ren
Dian Zheng
DiffM
VGen
MDE
110
5
0
18 Nov 2024
Assistive Image Annotation Systems with Deep Learning and Natural
  Language Capabilities: A Review
Assistive Image Annotation Systems with Deep Learning and Natural Language Capabilities: A Review
Moseli Motsóehli
VLM
3DV
22
0
0
28 Jun 2024
LiDAR-based curb detection for ground truth annotation in automated
  driving validation
LiDAR-based curb detection for ground truth annotation in automated driving validation
Jose Luis Apellániz
Mikel García
Nerea Aranjuelo
Javier Barandiarán
Marcos Nieto
19
3
0
01 Dec 2023
Multi-label Annotation for Visual Multi-Task Learning Models
Multi-label Annotation for Visual Multi-Task Learning Models
Gaurang Sharma
A. Angleraud
R. Pieters
21
0
0
30 Nov 2023
LiDAR-Generated Images Derived Keypoints Assisted Point Cloud
  Registration Scheme in Odometry Estimation
LiDAR-Generated Images Derived Keypoints Assisted Point Cloud Registration Scheme in Odometry Estimation
Haizhou Zhang
Xianjia Yu
Sier Ha
Tomi Westerlund
3DPC
23
6
0
19 Sep 2023
FreiHAND: A Dataset for Markerless Capture of Hand Pose and Shape from
  Single RGB Images
FreiHAND: A Dataset for Markerless Capture of Hand Pose and Shape from Single RGB Images
Christiane Zimmermann
Duygu Ceylan
Jimei Yang
Bryan C. Russell
Max Argus
Thomas Brox
3DH
179
394
0
10 Sep 2019
Superpixels: An Evaluation of the State-of-the-Art
Superpixels: An Evaluation of the State-of-the-Art
David Stutz
Alexander Hermans
Bastian Leibe
SupR
51
468
0
06 Dec 2016
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