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GOOD: Exploring Geometric Cues for Detecting Objects in an Open World

GOOD: Exploring Geometric Cues for Detecting Objects in an Open World

22 December 2022
Haiwen Huang
Andreas Geiger
Dan Zhang
    VLM
    ObjD
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Papers citing "GOOD: Exploring Geometric Cues for Detecting Objects in an Open World"

4 / 4 papers shown
Title
OpenInst: A Simple Query-Based Method for Open-World Instance
  Segmentation
OpenInst: A Simple Query-Based Method for Open-World Instance Segmentation
Cheng Wang
Guoli Wang
Qian Zhang
Pengning Guo
Wenyu Liu
Xinggang Wang
ISeg
VLM
19
7
0
28 Mar 2023
Grid-Centric Traffic Scenario Perception for Autonomous Driving: A
  Comprehensive Review
Grid-Centric Traffic Scenario Perception for Autonomous Driving: A Comprehensive Review
Yining Shi
Kun Jiang
Jiusi Li
Zelin Qian
Jun Wen
Mengmeng Yang
Ke Wang
Diange Yang
76
25
0
02 Mar 2023
Self-Initiated Open World Learning for Autonomous AI Agents
Self-Initiated Open World Learning for Autonomous AI Agents
Bing-Quan Liu
Eric Robertson
Scott Grigsby
Sahisnu Mazumder
AI4CE
30
8
0
21 Oct 2021
Semantic Understanding of Scenes through the ADE20K Dataset
Semantic Understanding of Scenes through the ADE20K Dataset
Bolei Zhou
Hang Zhao
Xavier Puig
Tete Xiao
Sanja Fidler
Adela Barriuso
Antonio Torralba
SSeg
249
1,821
0
18 Aug 2016
1