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

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

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

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

YOLOv5, v7 improvement twenty-eight: ICLR 2022 rising point artifact - plug-and-play dynamic convolution ODConv

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

Partial convolution && Gated convolution

yolov7 improvement series

YOLOv5 Improvement Series (20) - Add BiFormer Attention Mechanism (CVPR2023|Small Goal Increase Point Artifact)

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

Detailed explanation of YOLOv7 improvement

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

YOLOV7 improvement: replace WIOU to achieve lossless gains

Network + Network recursive convolution

YOLOV5/YOLOV7/YOLOV8 Improvement Column

Python is based on the full range of YOLOv7 models [yolov7/yolov7-d6/yolov7-tiny/yolov7-w6/yolov7x] to develop and practice student classroom hand-raising detection and recognition

YoloV8 improvement strategy: CoordConv adds coordinates to the convolution, making it spatially aware.

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

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

YOLOv8 algorithm improvement [NO.87] Introducing the Light-weight Context Guided improvement C2_f of the Context Guided Network (CGNet)

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

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

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

Efficiency Improvement Artifact: Application and Use of WPSAI

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

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

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

[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.72] attention mechanism Linear Context Transform Block (LCT module)

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