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Unsupervised domain adaptation for clinician pose estimation and
  instance segmentation in the operating room

Unsupervised domain adaptation for clinician pose estimation and instance segmentation in the operating room

26 August 2021
V. Srivastav
A. Gangi
N. Padoy
    OOD
ArXivPDFHTML

Papers citing "Unsupervised domain adaptation for clinician pose estimation and instance segmentation in the operating room"

7 / 7 papers shown
Title
FedBN: Federated Learning on Non-IID Features via Local Batch
  Normalization
FedBN: Federated Learning on Non-IID Features via Local Batch Normalization
Xiaoxiao Li
Meirui Jiang
Xiaofei Zhang
Michael Kamp
Qi Dou
OOD
FedML
168
787
0
15 Feb 2021
Rectifying Pseudo Label Learning via Uncertainty Estimation for Domain
  Adaptive Semantic Segmentation
Rectifying Pseudo Label Learning via Uncertainty Estimation for Domain Adaptive Semantic Segmentation
Zhedong Zheng
Yi Yang
NoLa
191
497
0
08 Mar 2020
Unbiased Mean Teacher for Cross-domain Object Detection
Unbiased Mean Teacher for Cross-domain Object Detection
Jinhong Deng
Wen Li
Yuhua Chen
Lixin Duan
79
286
0
02 Mar 2020
Confidence Regularized Self-Training
Confidence Regularized Self-Training
Yang Zou
Zhiding Yu
Xiaofeng Liu
B. Kumar
Jinsong Wang
233
789
0
26 Aug 2019
DensePose: Dense Human Pose Estimation In The Wild
DensePose: Dense Human Pose Estimation In The Wild
R. Güler
Natalia Neverova
Iasonas Kokkinos
3DH
184
1,386
0
01 Feb 2018
Mean teachers are better role models: Weight-averaged consistency
  targets improve semi-supervised deep learning results
Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results
Antti Tarvainen
Harri Valpola
OOD
MoMe
264
1,275
0
06 Mar 2017
Aggregated Residual Transformations for Deep Neural Networks
Aggregated Residual Transformations for Deep Neural Networks
Saining Xie
Ross B. Girshick
Piotr Dollár
Z. Tu
Kaiming He
297
10,220
0
16 Nov 2016
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