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

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

News 2023-09-29 21:36:27 views: null

NoSuchKey

Guess you like

Origin blog.csdn.net/m0_63774211/article/details/133125347

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

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

Target detection algorithm improvement series embedding dynamic snake convolution module DySnakeConv

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

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！

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

Dynamic snake convolution module DySnakeConv implemented in pytorch code

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

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

100 practical application cases of target detection YOLO - small target detection based on improved YOLOv8 (continued)

YOLOv8 улучшает серию эффективных увеличений очков -> Научит вас шаг за шагом добавлять динамическую свертку змеи (Dynamic Snake Convolution)

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

Industrial end-face small target counting detection based on Yolov8 (1)

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

Target Detection YOLO Practical Application Cases 100 Lectures - Small Target Detection and Defect Identification of Power Transmission Lines Based on Machine Vision (Part 2)

Yolov8을 기반으로 한 산업용 소형 타겟 결함 탐지의 실제 구현(2): Dynamic Snake Convolution(Dynamic Snake Convolution), 폭력적인 이득 달성 | ICCV2023

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

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

YoloV8 improvement strategy: Intel parameter-oriented efficient dynamic convolution KernelWarehouse, YoloV8’s top-notch package

YOLOV8 builds a target detection system from scratch (a must-read for modifying the model structure) and comes with an industrial defect detection data set

opencv dynamic target detection

Dynamic serpentine convolution tubular structure segmentation [CVPR 2023]

Target detection YOLO practical application cases 100 lectures - small target detection based on single-stage network (Part 2)

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

[3D target detection] sparse convolution

Target Detection YOLO Practical Application Cases 100 Lectures - Research and Implementation of Underwater Group Target Detection Based on Improved YOLOv5

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

Recommended

Ranking

Han Han autumn iron second job

CentOS7.4 install Apache service

Cty's Linux study notes (2)

Performance testing tool - installation and use of wrk

Cattle-off practice match 60E

Balanced Trees: Why Redis Internal Implementations Use Jump Tables

Programmer is the best product manager

Micro letter about the problems encountered in applet Summary (continually updated)

Type ‘java.awt.List‘ does not have type parameters

How to break out of the for loop gracefully

Daily

More

2025-04-26(0)

2025-04-25(0)

2025-04-24(0)

2025-04-23(0)

2025-04-22(0)

2025-04-21(0)

2025-04-20(0)

2025-04-19(0)

2025-04-18(0)

2025-04-17(0)