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Detecting 11K Classes: Large Scale Object Detection without Fine-Grained
  Bounding Boxes

Detecting 11K Classes: Large Scale Object Detection without Fine-Grained Bounding Boxes

14 August 2019
Hao Yang
Hao-Yu Wu
Hao Chen
    ObjD
ArXivPDFHTML

Papers citing "Detecting 11K Classes: Large Scale Object Detection without Fine-Grained Bounding Boxes"

4 / 4 papers shown
Title
Domain Adaptation for Large-Vocabulary Object Detectors
Domain Adaptation for Large-Vocabulary Object Detectors
Kai Jiang
Jiaxing Huang
Weiying Xie
Jie Lei
Yunsong Li
Ling Shao
Shijian Lu
ObjD
VLM
32
2
0
13 Jan 2024
On Label Granularity and Object Localization
On Label Granularity and Object Localization
Elijah Cole
Kimberly Wilber
Grant Van Horn
Xuan S. Yang
Marco Fornoni
Pietro Perona
Serge J. Belongie
Andrew G. Howard
Oisin Mac Aodha
WSOL
28
13
0
20 Jul 2022
Re-examining Distillation For Continual Object Detection
Re-examining Distillation For Continual Object Detection
Eli Verwimp
Kuo Yang
Sarah Parisot
Hong Lanqing
Steven G. McDonagh
Eduardo Pérez-Pellitero
Matthias De Lange
Tinne Tuytelaars
VLM
17
6
0
04 Apr 2022
Decoupled Adaptation for Cross-Domain Object Detection
Decoupled Adaptation for Cross-Domain Object Detection
Junguang Jiang
Baixu Chen
Jianmin Wang
Mingsheng Long
ObjD
64
64
0
06 Oct 2021
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