Despite significant progress in object detection tasks, remote sensing image target is still challenging owing to complex backgrounds, large differences sizes, and uneven distribution of rotating objects. In this study, we consider model accuracy, inference speed, objects at any angle. We also propose a RepVGG-YOLO network using an improved RepVGG as the backbone feature extraction network, whi...

Multi-category vessel detection and classification based on satellite imagery attract a lot of attention due to their significant applications in the military civilian domains. In this study, we generated new Artificial-SAR-Vessel dataset combination FUSAR-Ship SimpleCopyPaste method. We further proposed novel multi-category called CRAS-YOLO which consisted convolutional block module (CBAM), re...

Aiming at the problems of multi-scale and serious overlap dangerous goods in X-ray security-inspection-image samples, an dangerous-goods-detection algorithm with high detection accuracy is designed based on improvement YOLOv4. Using deformable convolution to redesign YOLOv4’s path-aggregation-network (PANet) module, can flexibly change its receptive field shape detected object. When high-level ...

Face sketch generation has attracted much attention in the field of visual computing. However, existing methods either are limited to constrained conditions or heavily rely on various preprocessing steps deal with in-the-wild cases. In this paper, we argue that accurately perceiving facial region and components is crucial for unconstrained synthesis. To end, propose a novel Perception-Adaptive ...

Recent visual odometry (VO) methods incorporating geometric algorithm into deep-learning architecture have shown outstanding performance on the challenging monocular VO task. Despite encouraging results are shown, previous ignore requirement of generalization capability under noisy environment and various scenes. To address this issue, work first proposes a novel optical flow network (PANet). C...

The mechanism of action of T4-induced polynu-cleotide kinase on short single-stranded deoxyoligonucleotideshas been investigated.It was found that the phosphorylationreaction catalyzed by T, polynucleotide kinase could be re-versed. Thus, a 5 ’-3*P-labeleddeoxyoligonucleotide and ADPon incubation with the enzyme formed [Y-~~PJATP.In addi-tion some radioac...

Transformer complements convolutional neural network (CNN) has achieved better performance than improved CNN-based methods. Specially, is utilized to be combined with U-shaped structure, skip-connections, encoder, and even them all together. However, the intermediate supervision based on coarse-to-fine strategy not been improve generalization of In this paper, we propose Swin-PANet, which apply...

This study was conducted to identify several types of vehicles taken using drone technology or Unmanned Aerial Vehicles (UAV). The introduction from above an altitude more than 300-400 meters that pass the highway ground level becomes a problem needs optimum investigation so there are no errors in determining type vehicle. at mining sites class through and how many road for vehicle recognition ...

In recent years, significant progress has been obtained in object detection using Convolutional Neural Networks (CNNs). However, owing to the particularity of Remote Sensing Images (RSIs), common methods are not well suited for RSIs. Aiming at difficulties RSIs, this paper proposes an method based on Dense Feature Fusion Path Aggregation Network (DFF-PANet). Firstly, better improving performanc...

هدف: این پژوهش با هدف ارائه مدل چالش‌های پرورش کودکان کم‌شنوای پیش‌دبستانی از دیدگاه مادران و متخصصان بر اساس نظریه داده‌بنیاد انجام ‌شده است. روش: نمونه 15 مادر کودک کم‌شنوا 4 تا 6 ساله انجمن والدین شهر تهران 5 متخصص حوزه ناشنوا بودند که در سال 1400 استفاده روش نمونه‌گیری هدفمند انتخاب شدند. چالش ­های طریق مصاحبه نیمه ساختاریافته عمیق رسیدن به اشباع نظری جمع‌آوری کدگذاری (کدگذاری باز، محوری ان...