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[HTML][HTML] Video surveillance using deep transfer learning and deep domain adaptation: Towards better generalization
Recently, develo** automated video surveillance systems (VSSs) has become crucial to
ensure the security and safety of the population, especially during events involving large …
ensure the security and safety of the population, especially during events involving large …
[HTML][HTML] Online video anomaly detection
Y Zhang, J Song, Y Jiang, H Li - Sensors, 2023 - mdpi.com
With the popularity of video surveillance technology, people are paying more and more
attention to how to detect abnormal states or events in videos in time. Therefore, real-time …
attention to how to detect abnormal states or events in videos in time. Therefore, real-time …
Insight on Human Activity Recognition Using the Deep Learning Approach
SS Kulkarni, S Jadhav - 2023 International Conference on …, 2023 - ieeexplore.ieee.org
This work proposes a video understanding technique that primarily focuses on the individual
action recognition appearing in the video. The state-of-the-art showed promising work in …
action recognition appearing in the video. The state-of-the-art showed promising work in …
Signature recognition models: performance comparison
A Gadre, P Pund, G Ajmire… - … on Advancements in …, 2021 - ieeexplore.ieee.org
In recent times Signature Verification has become an act of absolute necessity in the area of
biometric verification. Unlike other verification problems, every small detail between genuine …
biometric verification. Unlike other verification problems, every small detail between genuine …
Enhancing Text Quality with Bi-LSTM: An Approach for Automated Spelling and Grammar Correction
HA Lokhande, LJ Kinage, PM Kolunkar… - … on Advances in …, 2024 - ieeexplore.ieee.org
Spell checkers are crucial in various fields, ensuring error-free documents and clear
communication. Many applications use traditional approaches, like Google and Microsoft …
communication. Many applications use traditional approaches, like Google and Microsoft …
An Event Detection Mechanism with Deep Feature Extraction and Optimal Loss Function Based XGBoost Classifier
B Manjula, P Venkateshwarlu - Frontiers in Biomedical Technologies, 2024 - fbt.tums.ac.ir
Purpose: Interoceptions are a combination of sensation, integration, and interpretation of
internal bodily signals. Interoceptions are bidirectionally related to the human being mental …
internal bodily signals. Interoceptions are bidirectionally related to the human being mental …
Cross-Modal Text-to-Video Retrieval Using Deep Learning
W Farooqui, R Kanherkar, P Kumari… - … Conference on Multi …, 2024 - Springer
In the current digital environment, speech, visual signals, and sound play pivotal roles,
particularly in online videos with informative audio tracks. The vastness of multimedia …
particularly in online videos with informative audio tracks. The vastness of multimedia …
[PDF][PDF] Towards more efficient CNN models with filter distribution templates
RI Cordova - 2022 - research-information.bris.ac.uk
Researchers in the field of Deep Learning have used convolutional neural network
architectures to solve computer vision tasks claiming improved performance with reduced …
architectures to solve computer vision tasks claiming improved performance with reduced …
Emotion Detection Using Deep Fusion Model
A Raddekar, A Athani, A Bhosle, V Divnale… - … on Intelligent Vision and …, 2022 - Springer
Extracting personal emotions from a given input format such as an image has been one of
the most powerful and challenging research activities in social networking. Deep learning is …
the most powerful and challenging research activities in social networking. Deep learning is …
[PDF][PDF] EMOPLAY-Playlist Recommendation System Based on Facial Emotions
S Kale, P Ugale - psvpec.in
the very commonly found nature of every human being is to decide between things to
choose or not. This conflict often arises whenever user has either very few choices which …
choose or not. This conflict often arises whenever user has either very few choices which …