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Learning to Segment via Cut-and-Paste

Learning to Segment via Cut-and-Paste

16 March 2018
Tal Remez
Jonathan Huang
Matthew A. Brown
ArXivPDFHTML

Papers citing "Learning to Segment via Cut-and-Paste"

24 / 24 papers shown
Title
Scaling Backwards: Minimal Synthetic Pre-training?
Scaling Backwards: Minimal Synthetic Pre-training?
Ryo Nakamura
Ryu Tadokoro
Ryosuke Yamada
Tim Puhlfürß
Iro Laina
Christian Rupprecht
Walid Maalej
Rio Yokota
Hirokatsu Kataoka
DD
16
2
0
01 Aug 2024
Evaluating the Efficacy of Cut-and-Paste Data Augmentation in Semantic Segmentation for Satellite Imagery
Evaluating the Efficacy of Cut-and-Paste Data Augmentation in Semantic Segmentation for Satellite Imagery
I. M. Motoi
Leonardo Saraceni
Daniele Nardi
Thomas Alessandro Ciarfuglia
31
1
0
08 Apr 2024
Data Augmentation in Human-Centric Vision
Data Augmentation in Human-Centric Vision
Wentao Jiang
Yige Zhang
Shaozhong Zheng
Si Liu
Shuicheng Yan
36
1
0
13 Mar 2024
DaTaSeg: Taming a Universal Multi-Dataset Multi-Task Segmentation Model
DaTaSeg: Taming a Universal Multi-Dataset Multi-Task Segmentation Model
Xiuye Gu
Yin Cui
Jonathan Huang
Abdullah M. Rashwan
X. Yang
...
Golnaz Ghiasi
Weicheng Kuo
Huizhong Chen
Liang-Chieh Chen
David A. Ross
ISeg
26
26
0
02 Jun 2023
Hard-aware Instance Adaptive Self-training for Unsupervised Cross-domain Semantic Segmentation
Hard-aware Instance Adaptive Self-training for Unsupervised Cross-domain Semantic Segmentation
Chuanglu Zhu
Kebin Liu
Wenqi Tang
Ke Mei
Jiaqi Zou
Tiejun Huang
49
1
0
14 Feb 2023
MC-hands-1M: A glove-wearing hand dataset for pose estimation
MC-hands-1M: A glove-wearing hand dataset for pose estimation
Prodromos Boutis
Zisis Batzos
Konstantinos Konstantoudakis
A. Dimou
P. Daras
3DH
13
0
0
19 Oct 2022
Amodal Cityscapes: A New Dataset, its Generation, and an Amodal Semantic
  Segmentation Challenge Baseline
Amodal Cityscapes: A New Dataset, its Generation, and an Amodal Semantic Segmentation Challenge Baseline
Jasmin Breitenstein
Tim Fingscheidt
18
21
0
01 Jun 2022
Fast Object Placement Assessment
Fast Object Placement Assessment
Li Niu
Qingyang Liu
Zhenchen Liu
Jiangtong Li
13
14
0
28 May 2022
Decoder Denoising Pretraining for Semantic Segmentation
Decoder Denoising Pretraining for Semantic Segmentation
Emmanuel B. Asiedu
Simon Kornblith
Ting Chen
Niki Parmar
Matthias Minderer
Mohammad Norouzi
AI4CE
191
26
0
23 May 2022
Learning Interactive Driving Policies via Data-driven Simulation
Learning Interactive Driving Policies via Data-driven Simulation
Tsun-Hsuan Wang
Alexander Amini
Wilko Schwarting
Igor Gilitschenski
S. Karaman
Daniela Rus
19
20
0
23 Nov 2021
Edge-competing Pathological Liver Vessel Segmentation with Limited
  Labels
Edge-competing Pathological Liver Vessel Segmentation with Limited Labels
Zunlei Feng
Zhonghua Wang
Xinchao Wang
Xiuming Zhang
Lechao Cheng
Jie Lei
Yuexuan Wang
Mingli Song
22
13
0
01 Aug 2021
DSP: Dual Soft-Paste for Unsupervised Domain Adaptive Semantic
  Segmentation
DSP: Dual Soft-Paste for Unsupervised Domain Adaptive Semantic Segmentation
Li Gao
Jing Zhang
Lefei Zhang
Dacheng Tao
21
85
0
20 Jul 2021
The surprising impact of mask-head architecture on novel class
  segmentation
The surprising impact of mask-head architecture on novel class segmentation
Vighnesh Birodkar
Zhichao Lu
Siyang Li
V. Rathod
Jonathan Huang
ISeg
22
27
0
01 Apr 2021
Characterizing and Improving the Robustness of Self-Supervised Learning
  through Background Augmentations
Characterizing and Improving the Robustness of Self-Supervised Learning through Background Augmentations
Chaitanya K. Ryali
D. Schwab
Ari S. Morcos
SSL
24
9
0
23 Mar 2021
Context Decoupling Augmentation for Weakly Supervised Semantic
  Segmentation
Context Decoupling Augmentation for Weakly Supervised Semantic Segmentation
Yukun Su
Rui Sun
Guosheng Lin
Qingyao Wu
19
117
0
02 Mar 2021
Pre-training without Natural Images
Pre-training without Natural Images
Hirokatsu Kataoka
Kazushige Okayasu
Asato Matsumoto
Eisuke Yamagata
Ryosuke Yamada
Nakamasa Inoue
Akio Nakamura
Y. Satoh
79
116
0
21 Jan 2021
Simple Copy-Paste is a Strong Data Augmentation Method for Instance
  Segmentation
Simple Copy-Paste is a Strong Data Augmentation Method for Instance Segmentation
Golnaz Ghiasi
Yin Cui
A. Srinivas
Rui Qian
Tsung-Yi Lin
E. D. Cubuk
Quoc V. Le
Barret Zoph
ISeg
226
968
0
13 Dec 2020
ClassMix: Segmentation-Based Data Augmentation for Semi-Supervised
  Learning
ClassMix: Segmentation-Based Data Augmentation for Semi-Supervised Learning
Viktor Olsson
Wilhelm Tranheden
Juliano Pinto
Lennart Svensson
22
330
0
15 Jul 2020
Learning to segment images with classification labels
Learning to segment images with classification labels
Ozan Ciga
Anne L. Martel
VLM
19
25
0
28 Dec 2019
Synthetic Data for Deep Learning
Synthetic Data for Deep Learning
Sergey I. Nikolenko
44
348
0
25 Sep 2019
Instance Segmentation with Point Supervision
Instance Segmentation with Point Supervision
I. Laradji
Negar Rostamzadeh
Pedro H. O. Pinheiro
David Vazquez
Mark W. Schmidt
3DPC
ISeg
17
21
0
14 Jun 2019
Object Discovery with a Copy-Pasting GAN
Object Discovery with a Copy-Pasting GAN
Relja Arandjelović
Andrew Zisserman
14
57
0
27 May 2019
Budget-aware Semi-Supervised Semantic and Instance Segmentation
Budget-aware Semi-Supervised Semantic and Instance Segmentation
Míriam Bellver
Amaia Salvador
Jordi Torres
Xavier Giró-i-Nieto
ISeg
16
27
0
14 May 2019
Weakly Supervised Learning of Instance Segmentation with Inter-pixel
  Relations
Weakly Supervised Learning of Instance Segmentation with Inter-pixel Relations
Jiwoon Ahn
Sunghyun Cho
Suha Kwak
ISeg
SSeg
72
538
0
10 Apr 2019
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