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Spatial Transformer Network with Transfer Learning for Small-scale Fine-grained Skeleton-based Tai Chi Action Recognition
[article]
2022
arXiv
pre-print
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Experimental results show that our general model pipeline can reach a high accuracy of small-scale fine-grained Tai Chi action recognition with even few inputs and demonstrate that our method achieves ...
Human action recognition is a quite hugely investigated area where most remarkable action recognition networks usually use large-scale coarse-grained action datasets of daily human actions as inputs to ...
These datasets are not avalible at website for comparison and methods are not general for fine-grained action recognition. ...
arXiv:2206.15002v1
fatcat:bilyoh5vnffxvcosm4qigqsnxm
Joint Learning On The Hierarchy Representation for Fine-Grained Human Action Recognition
[article]
2021
arXiv
pre-print
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2021
2021 IEEE International Conference on Image Processing (ICIP)
unpublished
doi:10.1109/icip42928.2021.9506157 fatcat:rrs44vumxran7o76hk3qveg7sy
doi:10.1109/icip42928.2021.9506157 fatcat:rrs44vumxran7o76hk3qveg7sy
hierarchy representation to achieve effective joint learning and prediction for fine-grained human action recognition. ...
Fine-grained human action recognition is a core research topic in computer vision. ...
RELATED WORKS There are two main frameworks for fine-grained action recognition. ...
arXiv:2110.05853v1
fatcat:z3zg3eam3jdeli2tkqhh7bdrhy
Improving Small-Scale Human Action Recognition Performance Using a 3D Heatmap Volume
2023
Sensors
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However, there remains a lack of research on the recognition of small-scale fine-grained human actions using deep learning methods, which have greater practical significance. ...
In recent years, skeleton-based human action recognition has garnered significant research attention, with proposed recognition or segmentation methods typically validated on large-scale coarse-grained ...
However, in this work, we aim to provide a general and accurate transfer-learning framework for small-scale fine-grained action recognition. ...
doi:10.3390/s23146364
pmid:37514658
pmcid:PMC10383990
fatcat:sl3j46xutndmjbrkakfkbtfmou
Fine-Grained Facial Expression Recognition in Multiple Smiles
2023
Electronics
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We propose Smile Transformer, a network architecture for FER based on the Swin Transformer, to enhance the local perception capability of the model and improve the accuracy of fine-grained face recognition ...
We focused on fine-grained facial expression recognition (FER) and built a new smiling face dataset, named Facial Expression Emotions. ...
Acknowledgments: Thanks to the editors and reviewers for their careful reviewing, and constructive suggestions and reminders.
Conflicts of Interest: The authors declare no conflict of interest. ...
doi:10.3390/electronics12051089
fatcat:7o7r3nuxlzdznhr6bsel5dqjre
RF-Eletter: A cross-domain English letter recognition system based on RFID
2021
IEEE Access
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Given the paucity of an intuitive and effective means of identifying user gestures, the RF-E-letter proposed in this study denotes an RFID recognition system for complex, fine-grained, and domainindependent ...
Gesture recognition through wireless signals denotes a novel branch of human perception. ...
Other scholars employed bracelets for fine-grained gesture recognition [5, 18, 61] . ...
doi:10.1109/access.2021.3128293
fatcat:dwxaavh4sncp7ljjbzbmm2llva
MaMiCo: Macro-to-Micro Semantic Correspondence for Self-supervised Video Representation Learning
2022
Proceedings of the 30th ACM International Conference on Multimedia
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To tackle this issue, we propose a selfsupervised Macro-to-Micro Semantic Correspondence (MaMiCo) learning framework, pursuing fine-grained spatiotemporal representations from a macro-to-micro perspective ...
Extensive experiments justify that MaMiCo learns rich general video representations and works well on various downstream tasks, e.g., (fine-grained) action recognition, action localization, and video retrieval ...
Fine-grained Action Recognition. We believe MaMiCo would be ideally suited for fine-grained video action recognition due to its macro-to-micro spatio-temporal correspondence perception. ...
doi:10.1145/3503161.3547888
fatcat:2xavzmwqwzfcvcl6sruyk3gmb4
Spontaneous perception: a framework for task-free, self-paced perception
2021
Neuroscience of Consciousness
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In this article we propose a framework for spontaneous perception. We first define spontaneous perception as a task-free and self-paced experience. ...
We conclude by suggesting several outstanding questions for future research, extending the relevance of this framework to consciousness and spontaneous brain activity. ...
Here we propose a framework for spontaneous perception. ...
doi:10.1093/nc/niab016
fatcat:kyy4i37e55g3dos3gwosk26i7i
Guest Editorial: Introduction to the Special Section on Fine-Grained Visual Categorization
2022
IEEE Transactions on Pattern Analysis and Machine Intelligence
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FINE-GRAINED VISUAL CATEGORIZATION
Fine-Grained Image Recognition The paper "Hierarchical Deep Click Feature Prediction for Fine-Grained Image Recognition" by Jun Yu, Min Tan, Hongyuan Zhang, Yong Rui ...
The accepted papers are divided into four groups based on their different focuses: Fine-grained image recognition, Fine-grained human analysis, Fine-grained video action recognition, and Fine-grained vision-language ...
doi:10.1109/tpami.2021.3065094
fatcat:7uqctb6qgnc7jf2dv75wnustfi
A Comprehensive Framework for Face age Synthesis, Voice Transformation, and Cartoon Generation
2024
International Journal of Advanced Research in Science, Communication and Technology
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Additionally, we introduce an identity conditional module for fine-grained face age synthesis, enhancing the naturalness of synthesized faces. ...
This paper presents a comprehensive framework addressing age-invariant face recognition (AIFR), face age synthesis (FAS), voice transformation, and avatar generation. ...
for fine-tuning. ...
doi:10.48175/ijarsct-15790
fatcat:krp2mhditfbp3ge5ff5bgua5oi
2nd Place Solution to Google Universal Image Embedding
[article]
2022
arXiv
pre-print
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We use the instance-level fine-grained image classification method to complete this competition. We focus on data building and processing, model structure, and training strategies. ...
This paper presents the 2nd place solution to the Google Universal Image Embedding Competition, which is part of the ECCV2022 instance-level recognition workshops. ...
The tasks of these datasets are related to image retrieval or fine-grained recognition. Datasets pre-processing. ...
arXiv:2210.08735v2
fatcat:pez2agzehzhrdaloxgv7hfwjna
Table of Contents
2019
IEEE transactions on multimedia
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Hung 1867 Speech, Language, and Audio in Video Analysis; Music in Multimedia A Deep Neural Framework for Continuous Sign Language Recognition by Iterative Training . . . . . . . . . . . . . . . . . . . ...
Sun 1813 Fine-Grained Land Use Classification at the City Scale Using Ground-Level Images . . . . Y. Zhu, X. Deng, and S. ...
doi:10.1109/tmm.2019.2923070
fatcat:n457i3iodjftrlg4ugc3vhyxke
Empathetic Dialogue Generation via Sensitive Emotion Recognition and Sensible Knowledge Selection
[article]
2022
arXiv
pre-print
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We use a fine-grained encoding strategy which is more sensitive to the emotion dynamics (emotion flow) in the conversations to predict the emotion-intent characteristic of response. ...
Besides, we design a novel framework to model the interaction between knowledge and emotion to generate more sensible response. ...
Fine-grained Emotion Recognition For better understanding of the conversation, we pass Û i through a tagging classifier to produce a fine-grained emotion-intent tagging distribution P tag ∈ R t : P tag ...
arXiv:2210.11715v3
fatcat:mhgbofungrby7pi3dhnovg6p4e
Interactive Identification of Granular Materials using Force Measurements
[article]
2024
arXiv
pre-print
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In this work, we present a novel interactive material identification framework that enables robots to identify a wide range of granular materials using only a force-torque sensor for perception. ...
Our framework, comprising interactive exploration, feature extraction, and classification stages, prioritizes simplicity and transparency for seamless integration into various manipulation pipelines. ...
For example, fine-grained materials such as wheat flour, breadcrumbs, and fine sugar are easily distinguishable. On the other hand, coarse-grained dry peas are often mistaken for fine sugar. ...
arXiv:2403.17606v1
fatcat:4bg5uul57bdeppdnycyabore64
Time course of visual perception: Coarse-to-fine processing and beyond
2008
Progress in Neurobiology
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A more comprehensive, albeit unproven, alternative framework for understanding visual temporal dynamics is to view it as a sequential, Bayesian decision-making process. ...
Our perception of a visual scene changes rapidly in time, even when the scene itself does not. ...
Kersten for providing the picture in Fig. 1 , and for his insights about visual processing in general. I thank Dr. ...
doi:10.1016/j.pneurobio.2007.09.001
pmid:17976895
fatcat:ctf6bfzpkvhzhliaf65znmchrm
Improving Landmark Recognition using Saliency detection and Feature classification
[article]
2018
arXiv
pre-print
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Image Landmark Recognition has been one of the most sought-after classification challenges in the field of vision and perception. ...
After so many years of generic classification of buildings and monuments from images, people are now focussing upon fine-grained problems - recognizing the category of each building or monument. ...
Many works has been done on specific place recognition but the area of using fine-grained features to recognize Indian Landmarks has not been explored yet. ...
arXiv:1811.12748v1
fatcat:bbfsc2ncufcmjpayvv6pc6vhya
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