Saliency-Driven Hand Gesture Recognition Incorporating Histogram of Oriented Gradients (HOG) and Deep Learning

Article Computer Science, Information Systems

Motion saliency based hierarchical attention network for action recognition

Zihui Guo et al.

Summary: In this paper, a skeleton-based action recognition model is proposed, which consists of a base branch for feature extraction and an attention branch for feature enhancement. In the attention branch, attention maps are generated using auxiliary features to improve recognition performance. By fusing features at different stages of the two branches, the performance of the model is further improved.

MULTIMEDIA TOOLS AND APPLICATIONS (2023)

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Article Computer Science, Artificial Intelligence

RGB-T salient object detection via CNN feature and result saliency map fusion

Chang Xu et al.

Summary: This study proposes an RGB-T salient object detection method based on CNN feature and result saliency map fusion. By introducing complementary saliency cues from thermal images to visual images and gradually fusing saliency cues at different levels, accurate saliency maps can be obtained. The experimental results demonstrate that the proposed method performs well in challenging conditions such as low illumination, cluttered background, and low contrast.

APPLIED INTELLIGENCE (2022)

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Article Computer Science, Theory & Methods

Screen Content Quality Assessment: Overview, Benchmark, and Beyond

Xiongkuo Min et al.

Summary: This article provides a systematic and timely review on the research field of screen content quality assessment, covering background, characteristics, methodologies and measures, state-of-the-art evaluation, generalizations to QoE assessment, and unresolved challenges and future research directions.

ACM COMPUTING SURVEYS (2022)

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Article Computer Science, Artificial Intelligence

Convolutional neural network with spatial pyramid pooling for hand gesture recognition

Yong Soon Tan et al.

Summary: Hand gestures play a significant role in human interactions and simplify communication processes. The CNN-SPP model has shown superior performance in hand gesture recognition tasks.

NEURAL COMPUTING & APPLICATIONS (2021)

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Review Computer Science, Information Systems