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Learning to Better Segment Objects from Unseen Classes with Unlabeled
  Videos

Learning to Better Segment Objects from Unseen Classes with Unlabeled Videos

25 April 2021
Yuming Du
Yanghua Xiao
Vincent Lepetit
ArXivPDFHTML

Papers citing "Learning to Better Segment Objects from Unseen Classes with Unlabeled Videos"

7 / 7 papers shown
Title
Configurable Embodied Data Generation for Class-Agnostic RGB-D Video
  Segmentation
Configurable Embodied Data Generation for Class-Agnostic RGB-D Video Segmentation
Anthony Opipari
Aravindhan K. Krishnan
Shreekant Gayaka
Min Sun
Cheng-Hao Kuo
Arnie Sen
Odest Chadwicke Jenkins
VOS
38
0
0
16 Oct 2024
A Simple and Powerful Global Optimization for Unsupervised Video Object
  Segmentation
A Simple and Powerful Global Optimization for Unsupervised Video Object Segmentation
Georgy Ponimatkin
Nermin Samet
Yanghua Xiao
Yuming Du
Renaud Marlet
Vincent Lepetit
VOS
72
20
0
19 Sep 2022
PIZZA: A Powerful Image-only Zero-Shot Zero-CAD Approach to 6 DoF
  Tracking
PIZZA: A Powerful Image-only Zero-Shot Zero-CAD Approach to 6 DoF Tracking
Van Nguyen Nguyen
Yuming Du
Yanghua Xiao
Michael Ramamonjisoa
Vincent Lepetit
37
16
0
15 Sep 2022
Unifying Global-Local Representations in Salient Object Detection with
  Transformer
Unifying Global-Local Representations in Salient Object Detection with Transformer
Sucheng Ren
Qiang Wen
Nanxuan Zhao
Guoqiang Han
Shengfeng He
ViT
26
25
0
05 Aug 2021
Conditional Convolutions for Instance Segmentation
Conditional Convolutions for Instance Segmentation
Zhi Tian
Chunhua Shen
Hao Chen
ISeg
169
597
0
12 Mar 2020
UnOVOST: Unsupervised Offline Video Object Segmentation and Tracking
UnOVOST: Unsupervised Offline Video Object Segmentation and Tracking
Jonathon Luiten
Idil Esen Zulfikar
Bastian Leibe
VOS
125
62
0
15 Jan 2020
Meta R-CNN : Towards General Solver for Instance-level Few-shot Learning
Meta R-CNN : Towards General Solver for Instance-level Few-shot Learning
Xiaopeng Yan
Ziliang Chen
Anni Xu
Xiaoxi Wang
Xiaodan Liang
Liang Lin
ObjD
160
444
0
28 Sep 2019
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