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AugmentGest: Can Random Data Cropping Augmentation Boost Gesture Recognition Performance?

AugmentGest: Can Random Data Cropping Augmentation Boost Gesture Recognition Performance?

8 June 2025
Nada Aboudeshish
D. Ignatov
Radu Timofte
Author Contacts:
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Papers citing "AugmentGest: Can Random Data Cropping Augmentation Boost Gesture Recognition Performance?"

13 / 13 papers shown
Title
VIST-GPT: Ushering in the Era of Visual Storytelling with LLMs?
VIST-GPT: Ushering in the Era of Visual Storytelling with LLMs?
Mohamed Gado
Towhid Taliee
Muhammad Memon
D. Ignatov
Radu Timofte
130
3
0
27 Apr 2025
LEMUR Neural Network Dataset: Towards Seamless AutoML
LEMUR Neural Network Dataset: Towards Seamless AutoML
Arash Torabi Goodarzi
Roman Kochnev
Waleed Khalid
Furui Qin
Tolgay Atinc Uzun
Yashkumar Sanjaybhai Dhameliya
Yash Kanubhai Kathiriya
Zofia Antonina Bentyn
D. Ignatov
Radu Timofte
71
3
0
14 Apr 2025
Optuna vs Code Llama: Are LLMs a New Paradigm for Hyperparameter Tuning?
Optuna vs Code Llama: Are LLMs a New Paradigm for Hyperparameter Tuning?
Roman Kochnev
Arash Torabi Goodarzi
Zofia Antonina Bentyn
D. Ignatov
Radu Timofte
116
3
0
08 Apr 2025
Make Skeleton-based Action Recognition Model Smaller, Faster and Better
Make Skeleton-based Action Recognition Model Smaller, Faster and Better
Fan Yang
S. Sakti
Yang Wu
Satoshi Nakamura
47
151
0
23 Jul 2019
CutMix: Regularization Strategy to Train Strong Classifiers with
  Localizable Features
CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features
Sangdoo Yun
Dongyoon Han
Seong Joon Oh
Sanghyuk Chun
Junsuk Choe
Y. Yoo
OOD
619
4,780
0
13 May 2019
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning
  Algorithms
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms
Han Xiao
Kashif Rasul
Roland Vollgraf
283
8,904
0
25 Aug 2017
Improved Regularization of Convolutional Neural Networks with Cutout
Improved Regularization of Convolutional Neural Networks with Cutout
Terrance Devries
Graham W. Taylor
114
3,765
0
15 Aug 2017
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
823
11,909
0
09 Mar 2017
Identity Mappings in Deep Residual Networks
Identity Mappings in Deep Residual Networks
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
354
10,184
0
16 Mar 2016
Explaining and Harnessing Adversarial Examples
Explaining and Harnessing Adversarial Examples
Ian Goodfellow
Jonathon Shlens
Christian Szegedy
AAMLGAN
277
19,066
0
20 Dec 2014
Unsupervised Domain Adaptation by Backpropagation
Unsupervised Domain Adaptation by Backpropagation
Yaroslav Ganin
Victor Lempitsky
OOD
233
6,030
0
26 Sep 2014
Going Deeper with Convolutions
Going Deeper with Convolutions
Christian Szegedy
Wei Liu
Yangqing Jia
P. Sermanet
Scott E. Reed
Dragomir Anguelov
D. Erhan
Vincent Vanhoucke
Andrew Rabinovich
477
43,658
0
17 Sep 2014
Two-Stream Convolutional Networks for Action Recognition in Videos
Two-Stream Convolutional Networks for Action Recognition in Videos
Karen Simonyan
Andrew Zisserman
247
7,535
0
09 Jun 2014
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