Comparative performance of LP-GAN, standard GAN, and AE on (a) rainy, (b) foggy, and (c) nighttime scenes. حسب Kunyi Wang (3994175)

الموضوعات:

Evolution of generator outputs during training on (a) rainy, (b) foggy and (c) nighttime scenes. حسب Kunyi Wang (3994175)

الموضوعات:

mAP comparison under three different adverse weather conditions. حسب Kunyi Wang (3994175)

الموضوعات:

Architecture of the discriminator in LP-GAN. حسب Kunyi Wang (3994175)

الموضوعات:

Visual results of nighttime-to-clear image translation using LP-GAN, with each column showing (from top to bottom) the nighttime input, the generated output, and the clear-weather... حسب Kunyi Wang (3994175)

الموضوعات:

Overview of the YOLOv5 Architecture. حسب Kunyi Wang (3994175)

الموضوعات:

Underwater image classification and object detection using shuffle convolutional channel enhancement حسب Di Wu (23906)

"…Furthermore, by integrating the proposed algorithm as a feature extraction method into the Mask R-CNN framework, we effectively tackle problems such as object occlusion and deformation in complex underwater scenes, thereby improving the precision and robustness of the Mask R-CNN object detection algorithm.It has been validated on the COCO and TransCan datasets, demonstrating the significant advantages of the algorithm in improving underwater object detection performance through applications in different underwater environments and targets.…"

Data Sheet 1_Optimizing an image analysis protocol for ocean particles in focused shadowgraph imaging systems.docx حسب Huanqing Huang (21729452)

"…To improve reconstruction of particles captured by Focused Shadowgraph Imaging (FoSI)—a system that excels at visualizing low-optical-density objects, we developed a novel object detection algorithm to process images with a resolution of ~ 12 μm per pixel. …"

Range of point clouds. حسب Xinpeng Yao (18882573)

"…<div><p>Aiming at the problem that small and irregular detection targets such as cyclists have low detection accuracy and inaccurate recognition by existing 3D target detection algorithms, MAT-PointPillars (Multi-scale Attention and Transformer PointPillars), a 3D object detection algorithm, extends PointPillars with multi-scale vision Transformers and attention mechanisms. …"

Results of ablation experiment. حسب Xinpeng Yao (18882573)

"…<div><p>Aiming at the problem that small and irregular detection targets such as cyclists have low detection accuracy and inaccurate recognition by existing 3D target detection algorithms, MAT-PointPillars (Multi-scale Attention and Transformer PointPillars), a 3D object detection algorithm, extends PointPillars with multi-scale vision Transformers and attention mechanisms. …"

Transformer Encoder network structure. حسب Xinpeng Yao (18882573)

"…<div><p>Aiming at the problem that small and irregular detection targets such as cyclists have low detection accuracy and inaccurate recognition by existing 3D target detection algorithms, MAT-PointPillars (Multi-scale Attention and Transformer PointPillars), a 3D object detection algorithm, extends PointPillars with multi-scale vision Transformers and attention mechanisms. …"

Visualization of algorithm detection results. حسب Xinpeng Yao (18882573)

"…<div><p>Aiming at the problem that small and irregular detection targets such as cyclists have low detection accuracy and inaccurate recognition by existing 3D target detection algorithms, MAT-PointPillars (Multi-scale Attention and Transformer PointPillars), a 3D object detection algorithm, extends PointPillars with multi-scale vision Transformers and attention mechanisms. …"

Line chart of frame rate. حسب Xinpeng Yao (18882573)

"…<div><p>Aiming at the problem that small and irregular detection targets such as cyclists have low detection accuracy and inaccurate recognition by existing 3D target detection algorithms, MAT-PointPillars (Multi-scale Attention and Transformer PointPillars), a 3D object detection algorithm, extends PointPillars with multi-scale vision Transformers and attention mechanisms. …"

The total loss and three-component loss. حسب Xinpeng Yao (18882573)

"…<div><p>Aiming at the problem that small and irregular detection targets such as cyclists have low detection accuracy and inaccurate recognition by existing 3D target detection algorithms, MAT-PointPillars (Multi-scale Attention and Transformer PointPillars), a 3D object detection algorithm, extends PointPillars with multi-scale vision Transformers and attention mechanisms. …"

Improved upsampling module based on Transformer. حسب Xinpeng Yao (18882573)

"…<div><p>Aiming at the problem that small and irregular detection targets such as cyclists have low detection accuracy and inaccurate recognition by existing 3D target detection algorithms, MAT-PointPillars (Multi-scale Attention and Transformer PointPillars), a 3D object detection algorithm, extends PointPillars with multi-scale vision Transformers and attention mechanisms. …"

Image 1_Rapid and accurate recognition of erythrocytic stage parasites of Plasmodium falciparum via a deep learning-based YOLOv3 platform.jpeg حسب Wei He (131453)

"…Selected iRBCs were classified, and P. falciparum was detected using the YOLOv3 deep learning-based object detection algorithm.</p>Results<p>A total of 262 images were tested. …"

Various metrics of the training model. حسب Lai Yingdong (22403854)

"…</p><p>Purpose</p><p>This study aims to introduce a novel, automated approach for CPM using YOLOv8, a state-of-the-art object detection algorithm, to enhance efficiency and accuracy in monitoring construction projects.…"

Image 1_Recognition of parasitic helminth eggs via a deep learning-based platform.png حسب Wei He (131453)

"…In response to these challenges, this study explores the use of artificial intelligence (AI) for the detection and classification of human parasite eggs through the YOLOv4 deep learning object detection algorithm.</p>Methods<p>Eggs from species such as Ascaris lumbricoides (A. lumbricoides), Trichuris trichiura (T. trichiura), Enterobius vermicularis (E. vermicularis), Ancylostoma duodenale (A. duodenale), Schistosoma japonicum (S. japonicum), Paragonimus westermani (P. westermani), Fasciolopsis buski (F. buski), Clonorchis sinensis (C. sinensis), and Taenia spp. …"

The window installation progress description. حسب Lai Yingdong (22403854)

"…</p><p>Purpose</p><p>This study aims to introduce a novel, automated approach for CPM using YOLOv8, a state-of-the-art object detection algorithm, to enhance efficiency and accuracy in monitoring construction projects.…"

Research Flowchart. حسب Lai Yingdong (22403854)

"…</p><p>Purpose</p><p>This study aims to introduce a novel, automated approach for CPM using YOLOv8, a state-of-the-art object detection algorithm, to enhance efficiency and accuracy in monitoring construction projects.…"