Adding Res2Net module to Yolov5 improved algorithm - Code World

Adding Res2Net module to Yolov5 improved algorithm

Enterprise 2023-09-05 20:31:55 views: null

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Origin blog.csdn.net/qq_43649937/article/details/132667755

Adding Res2Net module to Yolov5 improved algorithm

Optimize and improve the YOLOv5 algorithm by adding the DCNv3 module to effectively improve the target detection effect

Improved module of YOLOv8 algorithm

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.79] The improved loss function is VariFocal Loss

Interpretation of Yolov5 algorithm

YOLOv8/YOLOv7/YOLOv5/YOLOv4/Faster-rcnn series algorithm improvement [NO.71] attention mechanism Expectation-Maximization Attention (EMA module)

YOLOv8/YOLOv7/YOLOv5/YOLOv4/Faster-rcnn series algorithm improvement [NO.72] attention mechanism Linear Context Transform Block (LCT module)

Ajout du module Res2Net à l'algorithme amélioré Yolov5

[YOLOv7/YOLOv5 series improvement NO.52] Integrating the C2f module in YOLOv8

Optimize and improve the YOLOv5 algorithm: add the SPD-Conv module to make small targets have nowhere to hide - (super detailed)

Yolo-Z: Improved YOLOv5 for small object detection

Optimize and improve YOLOv5 algorithm for small target detection optimization YOLOv5_Face2 (super detailed)

Добавление модуля Res2Net в улучшенный алгоритм Yolov5

yolov5 pedestrian detection algorithm

Analysis of YOLOv5 algorithm for target detection

Atlas merge algorithm (Improved)

Improved YOLOv5: MobileNEtv2, v3 articles **Must increase points | Innovative and practical | Unified lightweight backbone network, including FastNet, ShuffleNet, mobileNet, Ghostnet, etc.

LBP Algorithm and Its Improved Algorithm

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

YOLOv8/YOLOv7/YOLOv5/YOLOv4/Faster-rcnn series algorithm improvement [NO.69] Improvement of small targets in remote sensing image target detection CATnet (ContextAggregation module)

YOLO v2 algorithm improved understanding (own note understanding)

[YOLOV5 environment construction]--error: module 'cv2' has no attribute 'gapi wip_ gst GStreamerPipeline'

& Introduction path adding module

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

Improved version of ASPP (2): CBAM (convolutional attention module) is added to the ASPP module, namely CBAM_ASPP

English paper (sci) Interpretation and reproduction [NO.7] Improved YOLOv5s target detection algorithm based on attention mechanism

Improved gradient descent algorithm notes

Improved Dark Channel Dehazing Algorithm

[Selected] Highway Intelligent Inspection System: CBAM Spatial Attention Mechanism Improved YOLOv5

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