[YOLO series] YOLOv5, YOLOX, YOOv6, YOLOv7 network model structure - Code World

[YOLO series] YOLOv5, YOLOX, YOOv6, YOLOv7 network model structure

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Origin blog.csdn.net/qq_39770163/article/details/126858001

[YOLO series] YOLOv5, YOLOX, YOOv6, YOLOv7 network model structure

[Серия YOLO] Структура сетевой модели YOLOv5, YOLOX, YOOv6, YOLOv7

[Serie YOLO] Estructura del modelo de red YOLOv5, YOLOX, YOOv6, YOLOv7

Yolov5 Series 1---Yolo development history and detailed explanation of Yolov5 model

yolov3 yolov4 yolov5 yolov6 yolov7 yolov8 yolox Algorithm improvement, algorithm customization, algorithm guidance

Nanny level tutorial - YOLO series (YOLOv5/YOLOv7/YOLOv8) algorithm training data set

Pytorch builds YOLOV7 network structure

【YOLOシリーズ】YOLOv5、YOLOX、YOOv6、YOLOv7のネットワークモデル構造

[YOLO 시리즈] YOLOv5, YOLOX, YOOv6, YOLOv7 네트워크 모델 구조

Video target detection yolo algorithm small model self-training model comparison (yolov5 yolov7 yolov8)

[YOLOv7/YOLOv5 series improvement NO.53] Integrating the ECVBlock module in the CFPNet network to improve the detection ability of small targets

YOLOv8/YOLOv7/YOLOv5/YOLOv4/Faster-rcnn series algorithm improvement [NO.73] Adding asymptotic feature pyramid network (AFPN module)

YOLOv8/YOLOv7/YOLOv5/YOLOv4/Faster-rcnn series algorithm improvements [NO.83] Change the backbone feature extraction network Backbone to RevCol

Improving the YOLO series | YOLOv5/v7 replacing the backbone network with ResNet50/ResNet101

Target detection algorithm (R-CNN, fast R-CNN, faster R-CNN, yolo, SSD, yoloV2, yoloV3, yoloV4, yoloV5, yoloV6, yoloV7)

The first release of Yolov5/Yolov7 point increase artifact: Huawei Noah 2023's minimalist neural network model VanillaNet---VanillaBlock helps detection and achieves violent point increase

Model test comparison and conclusion of YOLOv5 YOLOv7 YOLOv8

YOLOv8 use introduction and YOLOv7, YOLOv6, YOLOv5 performance comparison

(6) yolov5: model modification and training

[YOLOv8/YOLOv7/YOLOv5/YOLOv4/Faster-rcnn series algorithm improvement NO.65] CVPR 2023 | Tsinghua team's plug-and-play network architecture—Slide-Transformer

YOLOv8/YOLOv7/YOLOv5/YOLOv4/Faster-rcnn series algorithm improvements [NO.70] NonDeepNe (ParNet module), a lightweight attention mechanism that does not increase network depth

[YOLOv7/YOLOv5 series algorithm improvement NO.7] Loss function improvement

Analysis of Yolov5 target detection algorithm: model structure

YOLOv5 Improvement Series (19) - Swin TransformerV1 to replace the backbone network (ViT model with smaller parameters)

YOLOv7 target detection - network structure 1 - interpretation of network structure configuration file

yolov7 improvement series

[Target Detection] YOLOv5: Modify your own network structure

[YOLO series] Super detailed interpretation of YOLOv7 papers (translation + study notes)

Yolov5 network construction code (2) - Model

[Neural Network] YoloV7

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