Apr 26, 2021 · This paper analyzes the model through three visualization methods, improves Faster R-CNN, and proposes a Cross Faster R-CNN model.
Jun 25, 2023 · The proposed approach integrates pre-feature attention in E-LSTM to identify the complicated relationship and extract the keywords through an attention layer ...
We fill this gap and provide an in-depth survey of 50 attention techniques, categorizing them by their most prominent features.
Missing: Simulation. | Show results with:Simulation.
This study focuses on the objectives of computer vision systems: replicating human visual capabilities including recognition, comprehension, and interpretation.
May 11, 2021 · In this paper, three machine learning algorithms are employed to detect network intrusion, including KNN, Random Forest, and Multilayer ...
This article presents a comprehensive survey of deep learning applications for object detection and scene perception in autonomous vehicles.
Jul 12, 2023 · In this dissertation, we investigate the effectiveness of attention mechanisms in improving prediction and modeling tasks across different domains.
Missing: Detection Simulation.
Mar 4, 2024 · Attention is one of the most researched concepts in the domain of deep learning for problems such as neural machine translation and image captioning.
We propose an innovative unified framework, named Attention-aware Perceptual Enhancement Nets (APEN), which integrates perceptual enhancement and an attention ...
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A target recognition algorithm based on scene fusion is designed to recognize the specific target in the road environment, and transfer reinforcement learning ...