TCSR: Lightweight Transformer and CNN Interaction Network for Image Super-Resolution by Danlin Cai, Wenwen Tan, Feiyang Chen, Xinchi Lou, Jianbin Xiahou, Daxin Zhu, Detian Huang

“…Furthermore, we introduce a Refinement module to further refine edge and texture details with global information. …”
Get full text

SPS-RCNN: Semantic-Guided Proposal Sampling for 3D Object Detection from LiDAR Point Clouds by Hengxin Xu, Lei Yang, Shengya Zhao, Shan Tao, Xinran Tian, Kun Liu

“…In the PRN, a cascade attention module (CAM) is employed to aggregate features from multiple subnets, progressively refining region proposals to improve detection accuracy for medium- and long-range objects. …”
Get full text

DWTMA-Net: Discrete Wavelet Transform and Multi-Dimensional Attention Network for Remote Sensing Image Dehazing by Xin Guan, Runxu He, Le Wang, Hao Zhou, Yun Liu, Hailing Xiong

“…Specifically, we design a wavelet transform-based downsampling module that effectively fuses frequency and spatial features. …”
Get full text

Loader Bucket Working Angle Identification Method Based on YOLOv5s and EMA Attention Mechanism by Xuedong Zhang, Bo Cui, Zhaoxu Wang, Wangting Zeng

“…In response to the issues of low recognition efficiency and large errors encountered in the process of identifying the working angle of the bucket during current automated loader construction operations, a method based on YOLOv5s and the EMA attention mechanism for loader bucket working angle identification is proposed. …”
Get full text

Differential Flatness-Based Singularity-Free Control of a Class of 5-DOF Aerial Platforms with Applications to Passively Articulated Dual-UAV Systems by Jiali Sun, Yushu Yu, Zhe Chen, Meichen Jiang, Xin Meng

“…However, PADUAVs encounter singularity issues in certain configurations. To address this challenge, we propose a novel singularity-avoidance control strategy. …”
Get full text

Grape Target Detection Method in Orchard Environment Based on Improved YOLOv7 by Fuchun Sun, Qiurong Lv, Yuechao Bian, Renwei He, Dong Lv, Leina Gao, Haorong Wu, Xiaoxiao Li

“…In addition, a Channel Attention (CA) module was added to the neck network to reduce interference from the orchard background and to accelerate the inference speed. …”
Get full text

Advanced IoT-integrated parking systems with automated license plate recognition and payment management by Gulmini Pradhan, Manas Ranjan Prusty, Vipul Singh Negi, Suchismita Chinara

“…Occupancy tracking achieved less than a 5% error margin compared to manual methods, while the fare calculation module reduced billing errors by 90%, enhancing efficiency and revenue. …”
Get full text

Prefix Tuning Using Residual Reparameterization by Youngjun Jung, Hyunsun Hwang, Changki Lee

“…Fine-tuning large language models for specific tasks requires updating and storing all parameters, leading to significant computational and storage cost issues. To address these challenges, parameter-efficient learning such as prefix tuning has gained attention. …”
Get full text

Flood extent mapping in SAR images using semi-supervised approach by Girisha S, Savitha G, Sughosh P

“…The paper employs consistency regularization and pseudo-label generation to overcome these issues and presents a novel hybrid semi-supervised semantic segmentation method. …”
Get full text

Surface Defect Detection Algorithm for Wind Turbine Blades Based on HSCA-YOLOv7 by Bing LI, Yunshan BAI, Kuan ZHAO, Congbin GUO, Yongjie ZHAI

“…Then, deep separable convolutions with different expansion rates are introduced into the improved spatial pyramid pooling (ISPP) module to reduce the loss of details caused by pooling operations. …”
Get full text

Quantum-Inspired Attention-Based Semantic Dependency Fusion Model for Aspect-Based Sentiment Analysis by Chenyang Xu, Xihan Wang, Jiacheng Tang, Yihang Wang, Lianhe Shao, Quanli Gao

“…However, they struggle with long-range dependency issues in lengthy texts, resulting in averaging and loss of contextual semantic information. …”
Get full text

DBFormer: A Dual-Branch Adaptive Remote Sensing Image Resolution Fine-Grained Weed Segmentation Network by Xiangfei She, Zhankui Tang, Xin Pan, Jian Zhao, Wenyu Liu

“…However, in the task of fine-grained segmentation of weeds and crops, traditional deep learning methods often fail to balance global semantic information with local detail features, resulting in over-segmentation or under-segmentation issues. To address this challenge, this paper proposes a segmentation model based on a dual-branch Transformer architecture—DBFormer—to enhance the accuracy of weed detection in remote sensing images. …”
Get full text

Blind super-resolution network based on local fuzzy discriminative loss for fabric data augmentation by Ning Dai, Xiaohan Hu, Kaixin Xu, Xudong Hu, Yanhong Yuan, Bo Cao, Luhong Shi

“…In the field of fabric defect detection, the development of algorithms has been hindered by issues such as poor quality and limited quantity of open-source datasets. …”
Get full text

Adaptive Switching Redundant-Mode Multi-Core System for Photovoltaic Power Generation by Liang Liu, Xige Zhang, Jiahui Zhou, Kai Niu, Zixuan Guo, Yawen Zhao, Meng Zhang

“…Furthermore, leveraging the feature of module switching, the system’s performance has been enhanced by 26% compared to a highly reliable triple modular redundancy systems, significantly improving the system’s reliability while ensuring a good performance is maintained.…”
Get full text

Cross-Subject EEG-Based Emotion Recognition Using Deep Metric Learning and Adversarial Training by Hawraa Razzaq Abed Alameer, Pedram Salehpour, Seyyed Hadi Aghdasi, Mohammad-Reza Feizi-Derakhshi

“…However, this assumption does not hold in practice. To address these issues, this paper presents a novel deep similarity learning loss specific to the emotion recognition task. …”
Get full text

Single Fringe Phase Retrieval for Translucent Object Measurements Using a Deep Convolutional Generative Adversarial Network by Jiayan He, Yuanchang Huang, Juhao Wu, Yadong Tang, Wenlong Wang

“…Fringe projection profilometry (FPP) is a measurement technique widely used in the field of 3D reconstruction. However, it faces issues of phase shift and reduced fringe modulation depth when measuring translucent objects, leading to decreased measurement accuracy. …”
Get full text

Transferring CLIP for visual grounding in remote sensing images by Linlin Liang, Yizhuo Quan, Chengbo Wang, Yuanfei Chang, Yanyou Qiao

“…This effectively enhances the feature representation of target objects, thereby mitigating issues such as scale variations and cluttered backgrounds in remote sensing imagery. …”
Get full text

Enhancement of SOA-Based Scintillation Mitigation by PS-OOK Transmission in FSO Communication by Yan-Qing Hong, Won-Ho Shin, Sang-Kook Han

“…The scintillation effect is a critical issue in a vertical FSO link. The issue of the extinction ratio (ER) degradation of the received OOK signal caused by the high dynamic gain frequency of the SOA limits the performance of the turbulence-induced scintillation effect mitigation using a gain-saturated and polarization-independent SOA. …”
Get full text

Debugmate: an AI agent for efficient on-call debugging in complex production systems by Rohan Modi, Navtej Reddy, Sai Sreenivas Kodur

“…In addition, it utilizes graphical representations to build context of not only the organization’s code but also of imported code modules, to specifically identify and resolve complex issues that may be caused by unfamiliar external frameworks (eg, SpringBoot). …”
Get full text

A Novel Shape Guided Transformer Network for Instance Segmentation in Remote Sensing Images by Dawen Yu, Shunping Ji

“…To achieve accurate instance mask segmentation, we introduce a shape guidance module (SGM) to emphasize the object boundary and shape information. …”
Get full text