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Boosting person ReID feature extraction via dynamic convolution
Extraction of discriminative features is crucial in person re-identification (ReID) which aims to match a query image of a person to her/his images,...
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The linearized Einstein equations with sources
On vacuum spacetimes of general dimension, we study the linearized Einstein vacuum equations with a spatially compactly supported and (necessarily)...
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Stable pushing in narrow passage environment using a modified hybrid A* algorithm
Pushing is a fundamental ability in mobile robotics for transporting objects when grippers are not applicable. A successful “box-pushing” requires...
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Real-time water surface target detection based on improved YOLOv7 for Chengdu Sand River
It has been a challenge to obtain accurate detection results in a timely manner when faced with complex and changing surface target detection....
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Domain independent heuristics for online stochastic contingent planning
Partially observable Markov decision processes (POMDP) are a useful model for decision-making under partial observability and stochastic actions....
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Development of a leech-inspired peristaltic crawling soft robot for intestine inspection
The development of a non-destructive and patient-friendly method for examining the intestines is crucial for early prevention and timely diagnosis of...
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Structural design and simulation of PDMS/SiC functionally graded substrates for applications in flexible hybrid electronics
Flexible hybrid electronics possess significant potential for applications in biomedical and wearable devices due to their advantageous properties of...
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Multi-objective meta-heuristics to optimize end-of-life laptop remanufacturing decisions under quality grading of returned parts
Research on multi-objective discrete optimization of Waste Electrical and Electronic Equipment (WEEE) remanufacturing remains under-studied in the...
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Towards robust automated math problem solving: a survey of statistical and deep learning approaches
Automated mathematical problem-solving represents a unique intersection of natural language processing (NLP) and mathematical reasoning, posing...
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Evaluating Human-Care Robot Services for the Elderly: An Experimental Study
The increase in elderly population is emerging as a serious social issue. The coronavirus pandemic has increased the number of elderly people...
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An evaluation of CNN models and data augmentation techniques in hierarchical localization of mobile robots
This work presents an evaluation of CNN models and data augmentation to carry out the hierarchical localization of a mobile robot by using...
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EdgeNet: a low-power image recognition model based on small sample information
Existing deep convolutional neural networks that rely on large datasets typically require images with high resolution and deep neural network models...
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Dual-phase-lag heat conduction analysis of a three-dimensional finite medium heated by a moving laser beam with circular or annular cross-section
In this paper, we analyze the non-Fourier dual-phase-lag heat transfer process in a three-dimensional medium heated by a moving circular or annular...
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Exploring methods for the generation of visual counterfactuals in the latent space
In the field of eXplainable Artificial Intelligence (XAI), the generation of counterfactuals is a promising method for human-interpretable...
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Exploration and Exploitation of Unlabeled Data for Open-Set Semi-supervised Learning
In this paper, we address a complex but practical scenario in semi-supervised learning (SSL) named open-set SSL, where unlabeled data contain both...
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Inherit or discard: learning better domain-specific child networks from the general domain for multi-domain NMT
Multi-domain NMT aims to develop a parameter-sharing model for translating general and specific domains, such as biology, legal, etc., which often...
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Woa-fism planning hexapod robot various gaits
Compared to wheeled and tracked robots, hexapod robots have higher adaptability and higher flexibility in complex terrains. With various gaits,...
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Active hydraulics and odd elasticity of muscle fibres
Muscle is a complex, hierarchically organized, soft contractile engine. To understand the limits on the rate of contraction and muscle energetics, we...
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DTS: dynamic training slimming with feature sparsity for efficient convolutional neural network
Deep convolutional neural networks have achieved remarkable progress on computer vision tasks over last years. In this paper, we proposed a dynamic...
