Photovoltaic cell defect detection based on Yolov8 introduces ICCV2023 dynamic snake convolution and the exclusive network-first multi-dimensional collaborative attention module MCA, achieving full innovation and growth - Code World

Photovoltaic cell defect detection based on Yolov8 introduces ICCV2023 dynamic snake convolution and the exclusive network-first multi-dimensional collaborative attention module MCA, achieving full innovation and growth

News 2023-09-18 21:17:28 views: null

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Origin blog.csdn.net/m0_63774211/article/details/132829530

Photovoltaic cell defect detection based on Yolov8 introduces ICCV2023 dynamic snake convolution and the exclusive network-first multi-dimensional collaborative attention module MCA, achieving full innovation and growth

Practical implementation of industrial small target defect detection based on Yolov8 (2): Dynamic Snake Convolution (Dynamic Snake Convolution), achieving violent gains | ICCV2023

Improved YOLOv8 | Plug and Play | Full-Dimensional Dynamic Convolution | "OMNI-DIMENSIONAL DYNAMIC CONVOLUTION"

NEU-DET steel surface defect detection based on Yolov8, the optimized combination is highly novel: CVPR2023 PConv and BiLevelRoutingAttention, with obvious growth points

Develop and build a photovoltaic solar cell defect image recognition and analysis system based on the lightweight neural network GhostNet

YOLOv8最新改进系列：YOLOv8+ICCV 2023 - 动态蛇形卷积（Dynamic Snake Convolution）采用管状结构，拉升模型小目标、遮挡目标检测效果！

Field smoke detection based on Yolov8 (4): Channel Priority Convolution Attention (CPCA), the effect is instantaneous to beat CBAM and SE, etc. | Latest publication of the Chinese Academy of Sciences in 2023

Target detection algorithm improvement series embedding dynamic snake convolution module DySnakeConv

YOLOv5 improves the latest ICCV2023 conference LSKNet: the field of large selective convolution kernel is explored for the first time to help small target detection

To assist "intelligent manufacturing" in industrial production, we develop and construct a cloth defect detection and identification system in textile production scenarios based on the full range of YOLOv8 models [n/s/m/l/x].

Yolov5 innovation: NEU-DET steel surface defect detection, the optimized combination is highly novel, CVPR2023 DCNV3 and InceptionNeXt have obvious growth points

ICCV2023｜DSConv: Dynamic Serpentine Convolution for Segmentation of Tubular Structures

Safety helmet detection system based on YOLOv8 (3): DCNv3 deformable convolution, optimized based on DCNv2, to assist behavior detection | CVPR2023 InternImage

YOLOv8 improves the effective point increase series->Teach you step-by-step to add dynamic snake convolution (Dynamic Snake Convolution)

Практическая реализация промышленного обнаружения дефектов малых целей на основе Yolov8 (2): Dynamic Snake Convolution (Dynamic Snake Convolution), достижение огромных успехов | ICCV2023

Практическая реализация промышленного обнаружения дефектов малых целей на основе Yolov8 (2): Dynamic Snake Convolution (Dynamic Snake Convolution), достижение огромных успехов | ICCV2023

Практическая реализация промышленного обнаружения дефектов малых целей на основе Yolov8 (2): Dynamic Snake Convolution (Dynamic Snake Convolution), достижение огромных успехов | ICCV2023

Практическая реализация промышленного обнаружения дефектов малых целей на основе Yolov8 (2): Dynamic Snake Convolution (Dynamic Snake Convolution), достижение огромных успехов | ICCV2023

Road defect target detection system based on YOLOV8 model (PyTorch+Pyside6+YOLOv8 model)

Dynamic snake convolution module DySnakeConv implemented in pytorch code

PCB defect detection based on yolov5

Speaking from a multi-dimensional convolution, full connectivity in comparison CNN and full convolution

DRConv dynamic region-aware convolution based on Yolov5/Yolov7, plug and play, with significant growth!

Attention mechanism: based on Yolov8's Triplet attention module, plug and play, the effect is better than cbam and se, and the increase point is obvious

Rail defect/crack detection based on yolov3

PCB defect detection and counting system based on YOLOv5+Deepsort

Matlab simulation of screw defect detection based on Googlenet deep learning network

Halcon-based plank defect detection algorithm code - Halcon-based region growth, Otsu segmentation algorithm, histogram equalization

YoloV8 improvement strategy: Based on hierarchical attention FasterViT, let YoloV8 achieve a leap in performance

YOLOV8 improvement: CVPR 2023 | Add EMA attention mechanism in different positions of C2f module, effectively increase points

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