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. 2202.12938
  4. Cited By
Assessing the State of Self-Supervised Human Activity Recognition using
  Wearables

Assessing the State of Self-Supervised Human Activity Recognition using Wearables

22 February 2022
H. Haresamudram
Irfan Essa
Thomas Plötz
    SSL
ArXivPDFHTML

Papers citing "Assessing the State of Self-Supervised Human Activity Recognition using Wearables"

17 / 17 papers shown
Title
Past, Present, and Future of Sensor-Based Human Activity Recognition Using Wearables: A Surveying Tutorial on a Still Challenging Task
Past, Present, and Future of Sensor-Based Human Activity Recognition Using Wearables: A Surveying Tutorial on a Still Challenging Task
H. Haresamudram
Chi Ian Tang
Sungho Suh
P. Lukowicz
Thomas Ploetz
74
2
0
11 Nov 2024
Large Language Models are Zero-Shot Recognizers for Activities of Daily Living
Large Language Models are Zero-Shot Recognizers for Activities of Daily Living
Gabriele Civitarese
Michele Fiori
Priyankar Choudhary
Claudio Bettini
17
5
0
01 Jul 2024
Maintenance Required: Updating and Extending Bootstrapped Human Activity
  Recognition Systems for Smart Homes
Maintenance Required: Updating and Extending Bootstrapped Human Activity Recognition Systems for Smart Homes
S. Hiremath
Thomas Ploetz
18
1
0
20 Jun 2024
Preliminary Investigation of SSL for Complex Work Activity Recognition
  in Industrial Domain via MoIL
Preliminary Investigation of SSL for Complex Work Activity Recognition in Industrial Domain via MoIL
Qingxin Xia
Takuya Maekawa
Jaime Morales
Takahiro Hara
Hirotomo Oshima
Masamitsu Fukuda
Y. Namioka
20
0
0
21 Apr 2024
ContextGPT: Infusing LLMs Knowledge into Neuro-Symbolic Activity Recognition Models
ContextGPT: Infusing LLMs Knowledge into Neuro-Symbolic Activity Recognition Models
Luca Arrotta
Claudio Bettini
Gabriele Civitarese
Michele Fiori
29
8
0
11 Mar 2024
Representation Learning for Wearable-Based Applications in the Case of
  Missing Data
Representation Learning for Wearable-Based Applications in the Case of Missing Data
Janosch Jungo
Yutong Xiang
S. Gashi
Christian Holz
19
1
0
08 Jan 2024
Cross-Domain HAR: Few Shot Transfer Learning for Human Activity
  Recognition
Cross-Domain HAR: Few Shot Transfer Learning for Human Activity Recognition
Megha Thukral
H. Haresamudram
Thomas Ploetz
19
4
0
22 Oct 2023
Investigating Enhancements to Contrastive Predictive Coding for Human
  Activity Recognition
Investigating Enhancements to Contrastive Predictive Coding for Human Activity Recognition
H. Haresamudram
Irfan Essa
Thomas Ploetz
AI4TS
17
15
0
11 Nov 2022
ColloSSL: Collaborative Self-Supervised Learning for Human Activity
  Recognition
ColloSSL: Collaborative Self-Supervised Learning for Human Activity Recognition
Yash Jain
Chi Ian Tang
Chulhong Min
F. Kawsar
Akhil Mathur
SSL
17
53
0
01 Feb 2022
With a Little Help from My Friends: Nearest-Neighbor Contrastive
  Learning of Visual Representations
With a Little Help from My Friends: Nearest-Neighbor Contrastive Learning of Visual Representations
Debidatta Dwibedi
Y. Aytar
Jonathan Tompson
P. Sermanet
Andrew Zisserman
SSL
183
450
0
29 Apr 2021
Emerging Properties in Self-Supervised Vision Transformers
Emerging Properties in Self-Supervised Vision Transformers
Mathilde Caron
Hugo Touvron
Ishan Misra
Hervé Jégou
Julien Mairal
Piotr Bojanowski
Armand Joulin
283
5,723
0
29 Apr 2021
The GEM Benchmark: Natural Language Generation, its Evaluation and
  Metrics
The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics
Sebastian Gehrmann
Tosin P. Adewumi
Karmanya Aggarwal
Pawan Sasanka Ammanamanchi
Aremu Anuoluwapo
...
Nishant Subramani
Wei-ping Xu
Diyi Yang
Akhila Yerukola
Jiawei Zhou
VLM
238
284
0
02 Feb 2021
On the surprising similarities between supervised and self-supervised
  models
On the surprising similarities between supervised and self-supervised models
Robert Geirhos
Kantharaju Narayanappa
Benjamin Mitzkus
Matthias Bethge
Felix Wichmann
Wieland Brendel
OOD
SSL
DRL
63
46
0
16 Oct 2020
Federated Self-Supervised Learning of Multi-Sensor Representations for
  Embedded Intelligence
Federated Self-Supervised Learning of Multi-Sensor Representations for Embedded Intelligence
Aaqib Saeed
Flora D. Salim
T. Ozcelebi
J. Lukkien
FedML
SSL
93
98
0
25 Jul 2020
Bag of Tricks for Image Classification with Convolutional Neural
  Networks
Bag of Tricks for Image Classification with Convolutional Neural Networks
Tong He
Zhi-Li Zhang
Hang Zhang
Zhongyue Zhang
Junyuan Xie
Mu Li
210
1,391
0
04 Dec 2018
What you can cram into a single vector: Probing sentence embeddings for
  linguistic properties
What you can cram into a single vector: Probing sentence embeddings for linguistic properties
Alexis Conneau
Germán Kruszewski
Guillaume Lample
Loïc Barrault
Marco Baroni
199
876
0
03 May 2018
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language
  Understanding
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding
Alex Jinpeng Wang
Amanpreet Singh
Julian Michael
Felix Hill
Omer Levy
Samuel R. Bowman
ELM
294
6,927
0
20 Apr 2018
1