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

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

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

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

Thesis research | Steel surface defect detection based on machine vision

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

Artifact with rising points: CVPR2023 InceptionNeXt. When Inception meets ConvNeXt, plug and play in Yolov5/Yolov7/Yolov8, small target detection has obvious points.

Interpretation and reproduction of SCI paper [NO.3] MSFT-YOLO: Improved YOLOv5 steel surface defect detection based on transformer (code has been reproduced)

YOLOX&NEU-DET steel surface defect task division data set

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

See "Machine Vision Surface Defect Detection Technology and Its Application in Iron and Steel Industry" notes

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

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

PCB defect detection based on yolov5

Intelligent defect detection system based on AI image recognition, application in the steel industry - technical solution

Tile surface defect detection based on Faster-RCNN - provide source code

Rail defect/crack detection based on yolov3

PCB defect detection and counting system based on YOLOv5+Deepsort

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].

To help industrial intelligent production quality inspection, develop and build a hot-rolled steel defect detection and recognition system based on yolov5n/s/m series models with different precisions, and compare and analyze performance differences

Yolov8을 기반으로 한 NEU-DET 강철 표면 결함 감지, 최적화된 조합은 매우 새로운 것입니다: CVPR2023 PConv 및 BiLevelRoutingAttention, 뚜렷한 성장 포인트

Yolov8을 기반으로 한 NEU-DET 강철 표면 결함 감지, 최적화된 조합은 매우 새로운 것입니다: CVPR2023 PConv 및 BiLevelRoutingAttention, 뚜렷한 성장 포인트

Yolov8을 기반으로 한 NEU-DET 강철 표면 결함 감지, 최적화된 조합은 매우 새로운 것입니다: CVPR2023 PConv 및 BiLevelRoutingAttention, 뚜렷한 성장 포인트

Yolov8을 기반으로 한 NEU-DET 강철 표면 결함 감지, 최적화된 조합은 매우 새로운 것입니다: CVPR2023 PConv 및 BiLevelRoutingAttention, 뚜렷한 성장 포인트

Yolov8을 기반으로 한 NEU-DET 강철 표면 결함 감지, 최적화된 조합은 매우 새로운 것입니다: CVPR2023 PConv 및 BiLevelRoutingAttention, 뚜렷한 성장 포인트

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

2023 Certification Cup Mathematical Modeling Question B Industrial Surface Defect Detection Ideas + Code

Surface defect detection of new energy vehicle lithium battery based on high-precision 3D machine vision

Yolov8 actual combat: traffic signal roadsign recognition, by adding CVPR203 DCNV3 and BiLevelRoutingAttention, violent increase

[Multimodality] 23. RO-ViT | Transformer-based development vocabulary target detection (CVPR2023)

[CVPR2023] Selective Query Recollection: Enhanced training of query-based target detection

Field smoke detection based on Yolov8 (1)

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