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Open-Set Object Detection Using Classification-free Object Proposal and
  Instance-level Contrastive Learning

Open-Set Object Detection Using Classification-free Object Proposal and Instance-level Contrastive Learning

21 November 2022
Zhongxiang Zhou
Yifei Yang
Yue Wang
R. Xiong
    ObjD
ArXivPDFHTML

Papers citing "Open-Set Object Detection Using Classification-free Object Proposal and Instance-level Contrastive Learning"

9 / 9 papers shown
Title
Efficient Alignment of Unconditioned Action Prior for Language-conditioned Pick and Place in Clutter
Efficient Alignment of Unconditioned Action Prior for Language-conditioned Pick and Place in Clutter
Kechun Xu
Xunlong Xia
Kaixuan Wang
Yifei Yang
Yunxuan Mao
Bing Deng
R. Xiong
Y. Wang
OffRL
66
0
0
12 Mar 2025
Open-Set Object Detection By Aligning Known Class Representations
Open-Set Object Detection By Aligning Known Class Representations
Hiran Sarkar
Vishal M. Chudasama
N. Onoe
Pankaj Wasnik
Vineeth N. Balasubramanian
ObjD
44
5
0
31 Dec 2024
Unveiling the Unknown: Conditional Evidence Decoupling for Unknown
  Rejection
Unveiling the Unknown: Conditional Evidence Decoupling for Unknown Rejection
Zhaowei Wu
Binyi Su
Hua Zhang
Zhong Zhou
EDL
44
0
0
26 Jun 2024
Towards Open-set Camera 3D Object Detection
Towards Open-set Camera 3D Object Detection
Zhuolin He
Xinrun Li
Heng Gao
Jiachen Tang
Shoumeng Qiu
Wenfu Wang
Lvjian Lu
Xuchong Qiu
Xiangyang Xue
Jian Pu
3DPC
33
0
0
25 Jun 2024
Open-Set Recognition in the Age of Vision-Language Models
Open-Set Recognition in the Age of Vision-Language Models
Dimity Miller
Niko Sünderhauf
Alex Kenna
Keita Mason
VLM
32
3
0
25 Mar 2024
Grasp, See, and Place: Efficient Unknown Object Rearrangement with Policy Structure Prior
Grasp, See, and Place: Efficient Unknown Object Rearrangement with Policy Structure Prior
Kechun Xu
Zhongxiang Zhou
Jun Wu
Haojian Lu
Rong Xiong
Yue Wang
35
2
0
23 Feb 2024
Open-Set Recognition: a Good Closed-Set Classifier is All You Need?
Open-Set Recognition: a Good Closed-Set Classifier is All You Need?
S. Vaze
Kai Han
Andrea Vedaldi
Andrew Zisserman
BDL
169
404
0
12 Oct 2021
Conditional Gaussian Distribution Learning for Open Set Recognition
Conditional Gaussian Distribution Learning for Open Set Recognition
Xin Sun
Zhen Yang
Chi Zhang
Guohao Peng
K. Ling
BDL
UQCV
152
216
0
19 Mar 2020
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
285
9,136
0
06 Jun 2015
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