Object detection using deep learning, CNNs and vision transformers: A review
Detecting objects remains one of computer vision and image understanding applications'
most fundamental and challenging aspects. Significant advances in object detection have …
most fundamental and challenging aspects. Significant advances in object detection have …
Convolutional neural networks or vision transformers: Who will win the race for action recognitions in visual data?
Understanding actions in videos remains a significant challenge in computer vision, which
has been the subject of several pieces of research in the last decades. Convolutional neural …
has been the subject of several pieces of research in the last decades. Convolutional neural …
Multi-level feature fusion for multimodal human activity recognition in Internet of Healthcare Things
Abstract Human Activity Recognition (HAR) has become a crucial element for smart
healthcare applications due to the fast adoption of wearable sensors and mobile …
healthcare applications due to the fast adoption of wearable sensors and mobile …
A survey on 3d skeleton-based action recognition using learning method
Three-dimensional skeleton-based action recognition (3D SAR) has gained important
attention within the computer vision community, owing to the inherent advantages offered by …
attention within the computer vision community, owing to the inherent advantages offered by …
A survey on video action recognition in sports: Datasets, methods and applications
To understand human behaviors, action recognition based on videos is a common
approach. Compared with image-based action recognition, videos provide much more …
approach. Compared with image-based action recognition, videos provide much more …
Recent advances in LoRa: A comprehensive survey
The vast demand for diverse applications raises new networking challenges, which have
encouraged the development of a new paradigm of Internet of Things (IoT), eg, LoRa. LoRa …
encouraged the development of a new paradigm of Internet of Things (IoT), eg, LoRa. LoRa …
M3net: multi-view encoding, matching, and fusion for few-shot fine-grained action recognition
Due to the scarcity of manually annotated data required for fine-grained video
understanding, few-shot fine-grained (FS-FG) action recognition has gained significant …
understanding, few-shot fine-grained (FS-FG) action recognition has gained significant …
Efficient video transformers with spatial-temporal token selection
Video transformers have achieved impressive results on major video recognition
benchmarks, which however suffer from high computational cost. In this paper, we present …
benchmarks, which however suffer from high computational cost. In this paper, we present …
Review on human action recognition in smart living: Sensing technology, multimodality, real-time processing, interoperability, and resource-constrained processing
Smart living, a concept that has gained increasing attention in recent years, revolves around
integrating advanced technologies in homes and cities to enhance the quality of life for …
integrating advanced technologies in homes and cities to enhance the quality of life for …
Transformer for skeleton-based action recognition: A review of recent advances
Skeleton-based action recognition has rapidly become one of the most popular and
essential research topics in computer vision. The task is to analyze the characteristics of …
essential research topics in computer vision. The task is to analyze the characteristics of …