ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2208.03497
  4. Cited By
Contrastive Positive Mining for Unsupervised 3D Action Representation
  Learning

Contrastive Positive Mining for Unsupervised 3D Action Representation Learning

6 August 2022
Haoyuan Zhang
Yonghong Hou
Wenjing Zhang
Wanqing Li
    SSL
ArXivPDFHTML

Papers citing "Contrastive Positive Mining for Unsupervised 3D Action Representation Learning"

7 / 7 papers shown
Title
Cross-Modal Consistency Learning for Sign Language Recognition
Cross-Modal Consistency Learning for Sign Language Recognition
Kepeng Wu
Zecheng Li
Weichao Zhao
Hezhen Hu
Wengang Zhou
SLR
36
0
0
16 Mar 2025
STARS: Self-supervised Tuning for 3D Action Recognition in Skeleton
  Sequences
STARS: Self-supervised Tuning for 3D Action Recognition in Skeleton Sequences
Soroush Mehraban
Mohammad Javad Rajabi
Babak Taati
3DPC
22
0
0
15 Jul 2024
Identity-free Artificial Emotional Intelligence via Micro-Gesture Understanding
Identity-free Artificial Emotional Intelligence via Micro-Gesture Understanding
Rong Gao
Xin Liu
Bohao Xing
Zitong Yu
Björn W. Schuller
H. Kalviainen
40
2
0
21 May 2024
3D Human Action Representation Learning via Cross-View Consistency
  Pursuit
3D Human Action Representation Learning via Cross-View Consistency Pursuit
Linguo Li
Minsi Wang
Bingbing Ni
Hang Wang
Jiancheng Yang
Wenjun Zhang
108
154
0
29 Apr 2021
SEED: Self-supervised Distillation For Visual Representation
SEED: Self-supervised Distillation For Visual Representation
Zhiyuan Fang
Jianfeng Wang
Lijuan Wang
Lei Zhang
Yezhou Yang
Zicheng Liu
SSL
231
186
0
12 Jan 2021
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
244
1,279
0
06 Mar 2017
Scene Flow to Action Map: A New Representation for RGB-D based Action
  Recognition with Convolutional Neural Networks
Scene Flow to Action Map: A New Representation for RGB-D based Action Recognition with Convolutional Neural Networks
Pichao Wang
W. Li
Zhimin Gao
Yuyao Zhang
Chang-Fu Tang
P. Ogunbona
3DPC
159
131
0
28 Feb 2017
1