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X-MAS: Extremely Large-Scale Multi-Modal Sensor Dataset for Outdoor
  Surveillance in Real Environments

X-MAS: Extremely Large-Scale Multi-Modal Sensor Dataset for Outdoor Surveillance in Real Environments

30 December 2022
Dong-Ki Noh
Chan-Yong Sung
Teayoung Uhm
Wooju Lee
Hyungtae Lim
Jaeseok Choi
Kyuewang Lee
Dasol Hong
Dae-Jin Um
Inseop Chung
Ho-Yong Shin
MinJung Kim
Hyoung-Rock Kim
Seung-Ming Baek
Hyun Myung
ArXivPDFHTML

Papers citing "X-MAS: Extremely Large-Scale Multi-Modal Sensor Dataset for Outdoor Surveillance in Real Environments"

4 / 4 papers shown
Title
Patchwork: Concentric Zone-based Region-wise Ground Segmentation with
  Ground Likelihood Estimation Using a 3D LiDAR Sensor
Patchwork: Concentric Zone-based Region-wise Ground Segmentation with Ground Likelihood Estimation Using a 3D LiDAR Sensor
Hyungtae Lim
Mi-Suk Oh
Hyun Myung
28
108
0
12 Aug 2021
Learning Occupancy Priors of Human Motion from Semantic Maps of Urban
  Environments
Learning Occupancy Priors of Human Motion from Semantic Maps of Urban Environments
Andrey Rudenko
Luigi Palmieri
Johannes Doellinger
A. Lilienthal
Kai O. Arras
HAI
20
11
0
17 Feb 2021
TrackingNet: A Large-Scale Dataset and Benchmark for Object Tracking in
  the Wild
TrackingNet: A Large-Scale Dataset and Benchmark for Object Tracking in the Wild
Matthias Muller
Adel Bibi
Silvio Giancola
Salman Al-Subaihi
Bernard Ghanem
192
785
0
28 Mar 2018
ImageNet Large Scale Visual Recognition Challenge
ImageNet Large Scale Visual Recognition Challenge
Olga Russakovsky
Jia Deng
Hao Su
J. Krause
S. Satheesh
...
A. Karpathy
A. Khosla
Michael S. Bernstein
Alexander C. Berg
Li Fei-Fei
VLM
ObjD
279
39,083
0
01 Sep 2014
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