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Distributional Instance Segmentation: Modeling Uncertainty and High
  Confidence Predictions with Latent-MaskRCNN

Distributional Instance Segmentation: Modeling Uncertainty and High Confidence Predictions with Latent-MaskRCNN

3 May 2023
YuXuan Liu
Nikhil Mishra
Pieter Abbeel
Xi Chen
    ISegUQCV
ArXiv (abs)PDFHTML

Papers citing "Distributional Instance Segmentation: Modeling Uncertainty and High Confidence Predictions with Latent-MaskRCNN"

17 / 17 papers shown
Title
DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object
  Detection
DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detection
Hao Zhang
Feng Li
Shilong Liu
Lei Zhang
Hang Su
Jun Zhu
L. Ni
H. Shum
ViT
167
1,435
0
07 Mar 2022
Masked-attention Mask Transformer for Universal Image Segmentation
Masked-attention Mask Transformer for Universal Image Segmentation
Bowen Cheng
Ishan Misra
Alex Schwing
Alexander Kirillov
Rohit Girdhar
ISeg
251
2,374
0
02 Dec 2021
End-to-End Object Detection with Transformers
End-to-End Object Detection with Transformers
Nicolas Carion
Francisco Massa
Gabriel Synnaeve
Nicolas Usunier
Alexander Kirillov
Sergey Zagoruyko
ViT3DVPINN
421
13,048
0
26 May 2020
PolarMask: Single Shot Instance Segmentation with Polar Representation
PolarMask: Single Shot Instance Segmentation with Polar Representation
Enze Xie
Pei Sun
Xiaoge Song
Wenhai Wang
Ding Liang
Chunhua Shen
Ping Luo
ISeg
87
542
0
29 Sep 2019
Instance Segmentation by Jointly Optimizing Spatial Embeddings and
  Clustering Bandwidth
Instance Segmentation by Jointly Optimizing Spatial Embeddings and Clustering Bandwidth
D. Neven
Bert De Brabandere
Marc Proesmans
Luc Van Gool
SSegISeg
53
243
0
26 Jun 2019
YOLACT: Real-time Instance Segmentation
YOLACT: Real-time Instance Segmentation
Daniel Bolya
Chong Zhou
Fanyi Xiao
Yong Jae Lee
SSegVLMISeg
126
1,675
0
04 Apr 2019
TensorMask: A Foundation for Dense Object Segmentation
TensorMask: A Foundation for Dense Object Segmentation
Xinlei Chen
Ross B. Girshick
Kaiming He
Piotr Dollár
ISeg
71
320
0
28 Mar 2019
A Comprehensive Survey on Graph Neural Networks
A Comprehensive Survey on Graph Neural Networks
Zonghan Wu
Shirui Pan
Fengwen Chen
Guodong Long
Chengqi Zhang
Philip S. Yu
FaMLGNNAI4TSAI4CE
780
8,533
0
03 Jan 2019
Probabilistic Object Detection: Definition and Evaluation
Probabilistic Object Detection: Definition and Evaluation
David Hall
Feras Dayoub
John Skinner
Haoyang Zhang
Dimity Miller
Peter Corke
G. Carneiro
A. Angelova
Niko Sünderhauf
UQCV
80
110
0
27 Nov 2018
Pixelwise Instance Segmentation with a Dynamically Instantiated Network
Pixelwise Instance Segmentation with a Dynamically Instantiated Network
Anurag Arnab
Philip Torr
ISegSSeg
59
232
0
07 Apr 2017
Mask R-CNN
Mask R-CNN
Kaiming He
Georgia Gkioxari
Piotr Dollár
Ross B. Girshick
ObjD
352
27,195
0
20 Mar 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
477
22,108
0
09 Dec 2016
Learning in an Uncertain World: Representing Ambiguity Through Multiple
  Hypotheses
Learning in an Uncertain World: Representing Ambiguity Through Multiple Hypotheses
Christian Rupprecht
Iro Laina
R. DiPietro
Maximilian Baust
Federico Tombari
Nassir Navab
Gregory D. Hager
58
184
0
01 Dec 2016
Deep Watershed Transform for Instance Segmentation
Deep Watershed Transform for Instance Segmentation
Min Bai
R. Urtasun
ISegSSeg
118
523
0
24 Nov 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
11,623
0
06 Apr 2016
Fast R-CNN
Fast R-CNN
Ross B. Girshick
ObjD
306
25,059
0
30 Apr 2015
Auto-Encoding Variational Bayes
Auto-Encoding Variational Bayes
Diederik P. Kingma
Max Welling
BDL
452
16,929
0
20 Dec 2013
1