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Deep Co-Space: Sample Mining Across Feature Transformation for
  Semi-Supervised Learning

Deep Co-Space: Sample Mining Across Feature Transformation for Semi-Supervised Learning

28 July 2017
Ziliang Chen
Keze Wang
Tianlin Li
Pai Peng
E. Izquierdo
Liang Lin
ArXivPDFHTML

Papers citing "Deep Co-Space: Sample Mining Across Feature Transformation for Semi-Supervised Learning"

3 / 3 papers shown
Title
AdaptGCD: Multi-Expert Adapter Tuning for Generalized Category Discovery
AdaptGCD: Multi-Expert Adapter Tuning for Generalized Category Discovery
Yuxun Qu
Yongqiang Tang
Chenyang Zhang
Wensheng Zhang
28
0
0
29 Oct 2024
Micro-supervised Disturbance Learning: A Perspective of Representation
  Probability Distribution
Micro-supervised Disturbance Learning: A Perspective of Representation Probability Distribution
Jielei Chu
Jing Liu
Hongjun Wang
Hua Meng
Zhiguo Gong
Tianrui Li
OOD
23
19
0
13 Mar 2020
Pseudo-labels for Supervised Learning on Dynamic Vision Sensor Data,
  Applied to Object Detection under Ego-motion
Pseudo-labels for Supervised Learning on Dynamic Vision Sensor Data, Applied to Object Detection under Ego-motion
Nicholas F. Y. Chen
4
5
0
27 Sep 2017
1