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BHPVAS: visual analysis system for pruning attention heads in BERT model
AbstractIn the field of deep learning, pre-trained BERT models have achieved remarkable success. However, the accompanying problem is that models...
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ARDN: Attention Re-distribution Network for Visual Question Answering
The Transformer-based architecture, with its efficient parallel computation, long-range dependency modeling, and context-aware capabilities, has...
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Sla-former: conformer using shifted linear attention for audio-visual speech recognition
Conformer-based models have proven highly effective in Audio-visual Speech Recognition, integrating auditory and visual inputs to significantly...
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Human Visual Attention Mechanism-Inspired Point-and-Line Stereo Visual Odometry for Environments with Uneven Distributed Features
Visual odometry is critical in visual simultaneous localization and map** for robot navigation. However, the pose estimation performance of most...
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Research on Lighting Evacuation Method Based on Visual Attention Mechanism Analysis
In order to improve the evacuation efficiency of parks and scenic spots in response to unexpected situations, It integrates human visual attention...
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Microstructure recognition of steels by machine learning based on visual attention mechanism
U-Net has achieved good performance with the small-scale datasets through skip connections to merge the features of the low-level layers and...
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Visual Ship Image Synthesis and Classification Framework Based on Attention-DCGAN
To improving ship image generation and classification tasks, a deep convolution generative adversarial network based on attention mechanism (ADCGAN)...
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A Self Attention-Based Feature Learning Framework for Visual Localization
Visual camera localization can be defined as a computer vision problem, that aims to retrieve the pose of a camera given a query image which was...
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Explaining autonomous driving with visual attention and end-to-end trainable region proposals
Autonomous driving is advancing at a fast pace, with driving algorithms becoming more and more accurate and reliable. Despite this, it is of utter...
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Radar-Visual Fusion Network Based on Channel Attention
As research on perception deepens, the challenges of perception under poor line-of-sight conditions are increasing. It is difficult to complete tasks...
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Deep Learning Based Visual-Inertial Odometry with External Attention Mechanism
Visual-inertial odometry is an important method to provide accurate pose information for mobile robots. Recently, there are growing interests on...
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A static video summarization approach via block-based self-motivated visual attention scoring mechanism
Since automatic visual semantic comprehension of video content is currently infeasible and unintelligent, key frames extracted from videos are...
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FNet with Cross-Attention Encoder for Visual Question Answering
Visual question answering (VQA) is a challenging research area where model needs to understand image semantics along with the asked question in order...
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Visual attention based composite dense neural network for facial expression recognition
Facial Expression Recognition (FER) models have received special attention in the field of computer vision and provide the basis for many real-time...
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Beyond visual range maneuver intention recognition based on attention enhanced tuna swarm optimization parallel BiGRU
This paper researches the problem of Beyond Visual Range (BVR) air combat maneuver intention recognition. To achieve efficient and accurate intention...
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Multi-encoder attention-based architectures for sound recognition with partial visual assistance
Large-scale sound recognition data sets typically consist of acoustic recordings obtained from multimedia libraries. As a consequence, modalities...
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Human Eye Fixations Prediction for Visual Attention Using CNN - A Survey
Human attention is closely related to the visual information perceived. Saliency prediction models help to concentrate on the core pixels of an image...
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Visual Question Answering System Using Co-attention Model
The areas of computer vision, natural language processing, and object detection have been achieving great progress in various applications these...
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Biologically Inspired Visual Model with Preliminary Cognition and Active Attention Adjustment
The biological evidence is an important part of this paper, since the work is trying to understand the human cognition process and establish the...
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Accurate visual localization with semantic masking and attention
Visual localization is the task of accurate camera pose estimation within a scene and is a crucial technique for computer vision and robotics. Among...
