yolov7 improvement series - Code World

yolov7 improvement series

Enterprise 2023-07-12 09:20:32 views: null

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Origin blog.csdn.net/Hoshea_sun/article/details/129402305

yolov7 improvement series

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

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

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

[YOLOv7/YOLOv5 series algorithm improvement NO.8] Non-maximum suppression NMS algorithm improvement Soft-nms

YOLOv8/YOLOv7/YOLOv5/YOLOv4/Faster-rcnn series algorithm improvement [NO.67] Add attention mechanism MHSA

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.73] Adding asymptotic feature pyramid network (AFPN module)

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

Detailed explanation of YOLOv7 improvement

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

YOLOv8/YOLOv7/YOLOv5/YOLOv4/Faster-rcnn series algorithm improvement [NO.85] Use TransformerDecoderHead in RT-DETR to improve yolov5

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

YOLOV7 improvement: replace WIOU to achieve lossless gains

YOLOV5/YOLOV7/YOLOV8 Improvement Column

YOLOv7 algorithm reconstruction: personal self-improvement, as simple as YOLOv5, only 31 layers

Gain point artifact: small target performance improvement based on Yolov5/Yolov7

Yolov5/Yolov7 improvement --- attention mechanism: ShuffleAttention, ECA, EffectiveSE, SE

[yolov7 series 2] distribution strategy of positive and negative samples

YOLOv7 Improvement 22: Raising Point Artifact - Introducing Recursive Gated Convolution (gnConv)

YOLOv7 Improvement: CVPR 2023 | SCConv: Plug-and-Play Convolution for Spatial and Channel Reconstruction

YOLOV7 improvement: Add RCS-OSA module to improve detection speed

[Practical Selection] Fruit Recognition System: Improvement of BoTNet-Transformer YOLOv7

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

Yolov5/Yolov7 improvement --- attention mechanism: Polarized Self-Attention, the effect spikes CBAM, SE

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

[yolov series: Xiaobai yolov7 running data set creation environment]

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

YOLOv5 improvement series (11) - add loss function EIoU, AlphaIoU, SIoU, WIoU

YOLOv5 improvement series (13) - replace the activation function of SiLU, ReLU, ELU, Hardswish, Mish, Softplus, AconC series, etc.

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