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Computer Science
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Article
An enhanced object detection network for ship target detection in SAR images
Deep learning techniques have made significant advancements in computer vision. The YOLO algorithm, a representative single-stage detection approach, has demonstrated remarkable results in detecting ship targe...
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Research on water level measurement technology based on the residual length ratio of image characters
Aiming at the low efficiency and poor adaptability of traditional water level measurement methods, a water level measurement technology based on the residual length ratio of image characters is proposed in thi...
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Multi-granularity hypergraph-guided transformer learning framework for visual classification
Fine-grained single-label classification tasks aim to distinguish highly similar categories but often overlook inter-category relationships. Hierarchical multi-granularity visual classification strives to cate...
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WPIA: accelerating DNN warm-up in Web browsers by precompiling WebGL programs
In this paper, we study the long warm-up time of GPU acceleration of DNN inference in Web browsers. We analyzed the reason behind the long warm-up time through a measurement study and revealed that compiling W...
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OV-DAR: Open-Vocabulary Object Detection and Attributes Recognition
In this paper, we endeavor to localize all potential objects in an image and infer their visual categories, attributes, and shapes, even in instances where certain objects have not been encompassed in the mode...
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OV-VIS: Open-Vocabulary Video Instance Segmentation
Conventionally, the goal of Video Instance Segmentation (VIS) is to segment and categorize objects in videos from a closed set of training categories, lacking the generalization ability to handle novel categor...
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A novel automated framework for fine-grained sentiment analysis of application reviews using deep neural networks
The substantial volume of user feedback contained in application reviews significantly contributes to the development of human-centred software requirement engineering. The abundance of unstructured text data ...
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Transferable universal adversarial perturbations against speaker recognition systems
Deep neural networks (DNN) exhibit powerful feature extraction capabilities, making them highly advantageous in numerous tasks. DNN-based techniques have become widely adopted in the field of speaker recogniti...
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SCDet: decoupling discriminative representation for dark object detection via supervised contrastive learning
Despite the significant progress made in object detection algorithms, their potential to operate effectively under the low-light environment remains to be fully explored. Recent methods realize dark object det...
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Dynamic datasets and market environments for financial reinforcement learning
The financial market is a particularly challenging playground for deep reinforcement learning due to its unique feature of dynamic datasets. Building high-quality market environments for training financial rei...
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Map** of sand and gravel aggregate level height and volume measurement based on contour map** generation
In order to prevent the abnormal appearance of sand and gravel aggregate level in the concrete mixing plant, and improve the safety of the concrete mixing plant system as well as the efficient and high-quality...
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Secure resource allocation against colluding eavesdrop** in a user-centric cell-free massive multiple-input multiple-output system
We investigate the resource allocation problem of a cell-free massive multiple-input multiple-output system under the condition of colluding eavesdrop** by multiple passive eavesdroppers. To address the prob...
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Generalization in Deep RL for TSP Problems via Equivariance and Local Search
Deep reinforcement learning (RL) has proved to be a competitive heuristic for solving small-sized instances of traveling salesman problems (TSP), but its performance on larger-sized instances is insufficient. ...
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Multitask learning for image translation and salient object detection from multimodal remote sensing images
This paper presents a novel and efficient multitask learning framework for image translation and saliency detection from remote sensing images, which mainly contains the image translation network-weight sharin...
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A hybrid style transfer with whale optimization algorithm model for textual adversarial attack
Deep learning has been widely used in various research fields. However, researchers have discovered that deep learning models are vulnerable to adversarial attacks. Existing word-level attacks can be seen as a...
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Recognition of score words in freestyle kayaking using improved DTW matching
Voice is the most natural information carrier for human beings, and is likely to become the main method of human–computer interaction in the future. This article focuses on the recognition of score words in fr...
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Joint UAV trajectory and communication design with heterogeneous multi-agent reinforcement learning
Unmanned aerial vehicles (UAVs) are recognized as effective means for delivering emergency communication services when terrestrial infrastructures are unavailable. This paper investigates a multi-UAV-assisted ...
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Driver fatigue detection and human-machine cooperative decision-making for road scenarios
Driver fatigue detection and human-machine cooperative decision-making are key issues in intelligent transportation systems. The proposed method consists of two main stages.In the first stage, we propose an im...
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Relaxed support vector based dictionary learning for image classification
Discriminative dictionary learning (DDL) has attracted significant attention in the field of image classification. To enhance the classification performance, most existing discriminative dictionary learning me...
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Reinforcement learning from constraints and focal entity shifting in conversational KGQA
The actual needs of users for information are often hidden in multiple question answering (QA) on the same topic. In order to generate answers to users’ current questions, a conversational QA system relies on ...
