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Open-world Instance Segmentation: Top-down Learning with Bottom-up
  Supervision

Open-world Instance Segmentation: Top-down Learning with Bottom-up Supervision

9 March 2023
Tarun Kalluri
Weiyao Wang
Heng Wang
Manmohan Chandraker
Lorenzo Torresani
Du Tran
ArXivPDFHTML

Papers citing "Open-world Instance Segmentation: Top-down Learning with Bottom-up Supervision"

46 / 46 papers shown
Title
Segment Anything
Segment Anything
A. Kirillov
Eric Mintun
Nikhila Ravi
Hanzi Mao
Chloe Rolland
...
Spencer Whitehead
Alexander C. Berg
Wan-Yen Lo
Piotr Dollár
Ross B. Girshick
MLLM
VLM
329
7,278
0
05 Apr 2023
Open-World Instance Segmentation: Exploiting Pseudo Ground Truth From
  Learned Pairwise Affinity
Open-World Instance Segmentation: Exploiting Pseudo Ground Truth From Learned Pairwise Affinity
Weiyao Wang
Matt Feiszli
Heng Wang
Jitendra Malik
Du Tran
ISeg
58
49
0
12 Apr 2022
Learning to Detect Every Thing in an Open World
Learning to Detect Every Thing in an Open World
Kuniaki Saito
Ping Hu
Trevor Darrell
Kate Saenko
ObjD
VLM
38
48
0
03 Dec 2021
Learning Open-World Object Proposals without Learning to Classify
Learning Open-World Object Proposals without Learning to Classify
Dahun Kim
Nayeon Lee
A. Angelova
In So Kweon
Weicheng Kuo
SSeg
56
128
0
15 Aug 2021
DETReg: Unsupervised Pretraining with Region Priors for Object Detection
DETReg: Unsupervised Pretraining with Region Priors for Object Detection
Amir Bar
Xin Wang
Vadim Kantorov
Colorado Reed
Roei Herzig
Gal Chechik
Anna Rohrbach
Trevor Darrell
Amir Globerson
ViT
62
118
0
08 Jun 2021
Learning to Better Segment Objects from Unseen Classes with Unlabeled
  Videos
Learning to Better Segment Objects from Unseen Classes with Unlabeled Videos
Yuming Du
Yanghua Xiao
Vincent Lepetit
58
8
0
25 Apr 2021
Opening up Open-World Tracking
Opening up Open-World Tracking
Yang Liu
Idil Esen Zulfikar
Jonathon Luiten
Achal Dave
Deva Ramanan
Bastian Leibe
Aljosa Osep
Laura Leal-Taixé
74
54
0
22 Apr 2021
Unidentified Video Objects: A Benchmark for Dense, Open-World
  Segmentation
Unidentified Video Objects: A Benchmark for Dense, Open-World Segmentation
Weiyao Wang
Matt Feiszli
Heng Wang
Du Tran
VOS
57
125
0
10 Apr 2021
Video Class Agnostic Segmentation Benchmark for Autonomous Driving
Video Class Agnostic Segmentation Benchmark for Autonomous Driving
Mennatullah Siam
Alex Kendall
Martin Jägersand
VOS
VLM
66
20
0
19 Mar 2021
Efficient Visual Pretraining with Contrastive Detection
Efficient Visual Pretraining with Contrastive Detection
Olivier J. Hénaff
Skanda Koppula
Jean-Baptiste Alayrac
Aaron van den Oord
Oriol Vinyals
João Carreira
VLM
SSL
69
164
0
19 Mar 2021
Towards Open World Object Detection
Towards Open World Object Detection
K. J. Joseph
Salman Khan
Fahad Shahbaz Khan
V. Balasubramanian
ObjD
85
461
0
03 Mar 2021
Self-Supervised Visual Representation Learning from Hierarchical
  Grouping
Self-Supervised Visual Representation Learning from Hierarchical Grouping
Xiao Zhang
Michael Maire
SSL
73
74
0
05 Dec 2020
MaX-DeepLab: End-to-End Panoptic Segmentation with Mask Transformers
MaX-DeepLab: End-to-End Panoptic Segmentation with Mask Transformers
Huiyu Wang
Yukun Zhu
Hartwig Adam
Alan Yuille
Liang-Chieh Chen
ViT
113
530
0
01 Dec 2020
Unseen Object Instance Segmentation for Robotic Environments
Unseen Object Instance Segmentation for Robotic Environments
Christopher Xie
Yu Xiang
Arsalan Mousavian
Dieter Fox
76
132
0
16 Jul 2020
Deep Affinity Net: Instance Segmentation via Affinity
Deep Affinity Net: Instance Segmentation via Affinity
Xingqian Xu
M. Chiu
Thomas S. Huang
Humphrey Shi
ISeg
SSeg
51
11
0
15 Mar 2020
Generalized ODIN: Detecting Out-of-distribution Image without Learning
  from Out-of-distribution Data
Generalized ODIN: Detecting Out-of-distribution Image without Learning from Out-of-distribution Data
Yen-Chang Hsu
Yilin Shen
Hongxia Jin
Z. Kira
OODD
93
573
0
26 Feb 2020
Learning to Group: A Bottom-Up Framework for 3D Part Discovery in Unseen
  Categories
Learning to Group: A Bottom-Up Framework for 3D Part Discovery in Unseen Categories
Tiange Luo
Kaichun Mo
Zhiao Huang
Jiarui Xu
Siyu Hu
Liwei Wang
Hao Su
3DPC
58
39
0
16 Feb 2020
SegSort: Segmentation by Discriminative Sorting of Segments
SegSort: Segmentation by Discriminative Sorting of Segments
Jyh-Jing Hwang
Stella X. Yu
Jianbo Shi
Maxwell D. Collins
Tien-Ju Yang
Xiao Zhang
Liang-Chieh Chen
205
149
0
15 Oct 2019
LVIS: A Dataset for Large Vocabulary Instance Segmentation
LVIS: A Dataset for Large Vocabulary Instance Segmentation
Agrim Gupta
Piotr Dollár
Ross B. Girshick
ISeg
VLM
103
1,369
0
08 Aug 2019
Large-Scale Long-Tailed Recognition in an Open World
Large-Scale Long-Tailed Recognition in an Open World
Ziwei Liu
Zhongqi Miao
Xiaohang Zhan
Jiayun Wang
Boqing Gong
Stella X. Yu
151
1,160
0
10 Apr 2019
ShapeMask: Learning to Segment Novel Objects by Refining Shape Priors
ShapeMask: Learning to Segment Novel Objects by Refining Shape Priors
Weicheng Kuo
A. Angelova
Jitendra Malik
Nayeon Lee
3DPC
ISeg
70
118
0
05 Apr 2019
YOLACT: Real-time Instance Segmentation
YOLACT: Real-time Instance Segmentation
Daniel Bolya
Chong Zhou
Fanyi Xiao
Yong Jae Lee
SSeg
VLM
ISeg
116
1,673
0
04 Apr 2019
Habitat: A Platform for Embodied AI Research
Habitat: A Platform for Embodied AI Research
Manolis Savva
Abhishek Kadian
Oleksandr Maksymets
Yili Zhao
Erik Wijmans
...
Jia-Wei Liu
V. Koltun
Jitendra Malik
Devi Parikh
Dhruv Batra
LM&Ro
115
1,405
0
02 Apr 2019
Large-scale interactive object segmentation with human annotators
Large-scale interactive object segmentation with human annotators
Rodrigo Benenson
S. Popov
V. Ferrari
VLM
106
223
0
26 Mar 2019
Mask Scoring R-CNN
Mask Scoring R-CNN
Zhaojin Huang
Lichao Huang
Yongchao Gong
Chang Huang
Xinggang Wang
ISeg
SSeg
67
913
0
01 Mar 2019
Towards Segmenting Anything That Moves
Towards Segmenting Anything That Moves
Achal Dave
P. Tokmakov
Deva Ramanan
70
87
0
11 Feb 2019
Affinity Derivation and Graph Merge for Instance Segmentation
Affinity Derivation and Graph Merge for Instance Segmentation
Yiding Liu
Siyu Yang
Bin Li
Wen-gang Zhou
Jizheng Xu
Houqiang Li
Yan Lu
ISeg
SSeg
58
107
0
27 Nov 2018
Superpixel Sampling Networks
Superpixel Sampling Networks
Varun Jampani
Deqing Sun
Ming-Yuan Liu
Ming-Hsuan Yang
Jan Kautz
SSeg
61
226
0
26 Jul 2018
Bayesian Semantic Instance Segmentation in Open Set World
Bayesian Semantic Instance Segmentation in Open Set World
Trung T. Pham
G. VijayKumarB.
Thanh-Toan Do
G. Carneiro
Ian Reid
VLM
ISeg
BDL
63
35
0
04 Jun 2018
Learning Pixel-level Semantic Affinity with Image-level Supervision for
  Weakly Supervised Semantic Segmentation
Learning Pixel-level Semantic Affinity with Image-level Supervision for Weakly Supervised Semantic Segmentation
Jiwoon Ahn
Suha Kwak
285
743
0
28 Mar 2018
Panoptic Segmentation
Panoptic Segmentation
Alexander Kirillov
Kaiming He
Ross B. Girshick
Carsten Rother
Piotr Dollár
104
1,435
0
03 Jan 2018
Recurrent Pixel Embedding for Instance Grouping
Recurrent Pixel Embedding for Instance Grouping
Shu Kong
Charless C. Fowlkes
103
179
0
22 Dec 2017
Learning to Segment Every Thing
Learning to Segment Every Thing
Ronghang Hu
Piotr Dollár
Kaiming He
Trevor Darrell
Ross B. Girshick
ISeg
VLM
69
296
0
28 Nov 2017
Pixelwise Instance Segmentation with a Dynamically Instantiated Network
Pixelwise Instance Segmentation with a Dynamically Instantiated Network
Anurag Arnab
Philip Torr
ISeg
SSeg
59
232
0
07 Apr 2017
Mask R-CNN
Mask R-CNN
Kaiming He
Georgia Gkioxari
Piotr Dollár
Ross B. Girshick
ObjD
350
27,181
0
20 Mar 2017
FusionSeg: Learning to combine motion and appearance for fully automatic
  segmention of generic objects in videos
FusionSeg: Learning to combine motion and appearance for fully automatic segmention of generic objects in videos
Enis Berk Çoban
Bo Xiong
Michael I. Mandel
VOS
118
382
0
19 Jan 2017
Feature Pyramid Networks for Object Detection
Feature Pyramid Networks for Object Detection
Nayeon Lee
Piotr Dollár
Ross B. Girshick
Kaiming He
Bharath Hariharan
Serge J. Belongie
ObjD
468
22,102
0
09 Dec 2016
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
396
1,876
0
18 Aug 2016
Fully Convolutional Networks for Semantic Segmentation
Fully Convolutional Networks for Semantic Segmentation
Evan Shelhamer
Jonathan Long
Trevor Darrell
VOS
SSeg
738
37,846
0
20 May 2016
The Cityscapes Dataset for Semantic Urban Scene Understanding
The Cityscapes Dataset for Semantic Urban Scene Understanding
Marius Cordts
Mohamed Omran
Sebastian Ramos
Timo Rehfeld
Markus Enzweiler
Rodrigo Benenson
Uwe Franke
Stefan Roth
Bernt Schiele
1.1K
11,609
0
06 Apr 2016
Learning to Segment Object Candidates
Learning to Segment Object Candidates
Pedro H. O. Pinheiro
R. Collobert
Piotr Dollar
SSeg
94
801
0
20 Jun 2015
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal
  Networks
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
Shaoqing Ren
Kaiming He
Ross B. Girshick
Jian Sun
AIMat
ObjD
502
62,270
0
04 Jun 2015
DeepBox: Learning Objectness with Convolutional Networks
DeepBox: Learning Objectness with Convolutional Networks
Weicheng Kuo
Bharath Hariharan
Jitendra Malik
ObjD
55
184
0
08 May 2015
Multiscale Combinatorial Grouping for Image Segmentation and Object
  Proposal Generation
Multiscale Combinatorial Grouping for Image Segmentation and Object Proposal Generation
Jordi Pont-Tuset
Pablo Arbeláez
Jonathan T. Barron
F. Marqués
Jitendra Malik
81
570
0
03 Mar 2015
Towards Open World Recognition
Towards Open World Recognition
Abhijit Bendale
Terrance Boult
76
565
0
18 Dec 2014
Microsoft COCO: Common Objects in Context
Microsoft COCO: Common Objects in Context
Nayeon Lee
Michael Maire
Serge J. Belongie
Lubomir Bourdev
Ross B. Girshick
James Hays
Pietro Perona
Deva Ramanan
C. L. Zitnick
Piotr Dollár
ObjD
413
43,638
0
01 May 2014
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