کنفرانس مهندسی برق ایران

صفحه اصلی / سی و دومین کنفرانس بین المللی مهندسی برق

Human Action Recognition in Still Images Using ConViT

نویسندگان :

Seyed Rohollah Hosseyni¹ Sanaz Seyedin² Hassan Taheri³

1- Amirkabir University of Technology 2- Amirkabir University of Technology 3- Amirkabir University of Technology

کلمات کلیدی :

Human action recognition،Still images،Convolutional Neural Network،Vision Transformer

چکیده :

Understanding the relationship between different parts of an image is crucial in a variety of applications, including object recognition, scene understanding, and image classification. Despite the fact that Convolutional Neural Networks (CNNs) have demonstrated impressive results in classifying and detecting objects, they lack the capability to extract the relationship between different parts of an image, which is a crucial factor in Human Action Recognition (HAR). To address this problem, this paper proposes a new module that functions like a convolutional layer that uses Vision Transformer (ViT). In the proposed model, the Vision Transformer can complement a convolutional neural network in a variety of tasks by helping it to effectively extract the relationship among various parts of an image. It is shown that the proposed model, compared to a simple CNN, can extract meaningful parts of an image and suppress the misleading parts. The proposed model has been evaluated on the Stanford40 and PASCAL VOC 2012 action datasets and has achieved 95.5% mean Average Precision (mAP) and 91.5% mAP results, respectively, which are promising compared to other state-of-the-art methods.

لیست مقالات

لیست مقالات بایگانی شده

Recurrence Quantification and Machine Learning: A Novel Approach for Parkinson’s Disease Diagnosis from EEG Signals

Asghar Zarei - Alireza Talesh Jafadideh

بهبود تاب‌آوری شبکه‌های توزیع سنتی در مرحله پیش از حادثه به کمک بازآرایی با الگوریتم ارگانیسم همزیستی

حسین بایسته - رضا شیردره - محمد احمدوند

Design and fabrication tip tapered fiber optic dopamine sensor based on LSPR

Roksana Esmaeilpour - Mohammad Ismail zibaii - Masoumeh Barkand - Marzieh Pajouhandeh - Soroush Rostami - Mehdi Banihashemi - Mohammad-Mahdi Babakhani-fard

Multinomial Emoji Prediction Using Deep Bidirectional Transformers and Topic Modeling

Zahra Ebrahimian - Ramin Toosi - Mohammad Ali Akhaee

Finite-Time Bipartite Time-Varying Formation tracking for Heterogeneous Nonlinear Multi-Agent Systems

Mohammad Reza Mehrabi Koushki - Javad Askari - Marzieh Kamali

کنترل تشنج در مدل صرع ساز با استفاده از کنترل کننده سطح دینامیکی

مهدی کمالی دولت آبادی - مرضیه کمالی - فرزانه شایق

Classification of Schizophrenia Patients by Nonlinear Analysis of EEG

Amirhossein Tajik - Hoda Jalalkamali - Hossein Nezamabadipour

Dynamic State Estimation of Power System Using Gauss-Seidel Cubature Kalman Filter

Atiyeh Keshavarz-Mohammadiyan

An Investigation on Transfer Learning for Classification of COVID-19 Chest X-Ray Images with Pre-trained Convolutional-based Architecture

Mobina Abdoli Nemati - ََAmirreza Baba Ahmadi

تحلیل ارتباطات موثر و عملکردی سیگنال‌های فیزیولوژیکی راننده جهت بهبود تشخیص حواس پرتی

نیلوفر وثوق - زهرا بهمنی دهکردی - امین محمدیان

بیشتر