YOLOV8 improvements: TripletAttention | plug-and-play lightweight attention mechanism - Code World

YOLOV8 improvements: TripletAttention | plug-and-play lightweight attention mechanism

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Origin blog.csdn.net/m0_51530640/article/details/132745059

YOLOV8 improvements: TripletAttention | plug-and-play lightweight attention mechanism

YOLOv8/YOLOv7/YOLOv5/YOLOv4/Faster-rcnn series algorithm improvements [NO.80] introduce plug-and-play CloFormer: the perfect integration of attention mechanism and convolution

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

Plug and Play Lightweight Attention Mechanism ECA--Net

Pytorch code realizes TripletAttention of attention mechanism

Attention mechanism: based on Yolov8's Triplet attention module, plug and play, the effect is better than cbam and se, and the increase point is obvious

Attention Mechanism, Decoder and Encoder Improvements

YOLOv5 Improvement | 2023 Attention Chapter | iRMB Inverted Residual Block Attention Mechanism (Lightweight Attention Mechanism)

Improve YOLOv8 | Plug and Play | Add [SimAM] [CoTAttention] [SKAttention] [Double Attention] attention mechanism in the C2F module | Attach a detailed structure diagram

Improving YOLOv5/YOLOv8: Reproduction combined with plug-and-play | Efficient multi-scale attention (EMA), the module becomes a small helper for YOLOv5 improvement

YOLOv5 improvements | 2023 attention | EMAttention attention mechanism (with multiple positions that can be added)

Improvements to YOLOv8

Improve YOLOv8 | Plug and Play | Add [SE] [CBAM] [ECA] [CA] attention mechanism in the C2F module | Attach a detailed structure diagram

Улучшение YOLOV8: CVPR 2023 | SCConv: свертка пространственной и канальной реконструкции Plug-and-Play

CVPR2023 Plug and Play Series | An Efficient and Lightweight Self-Attention Mechanism Helps Image Restoration Network Win SOTA!

Yolov8 improvement --- attention mechanism: CoordAttention, the effect spikes CBAM, SE

YoloV8 improvement --- attention mechanism: the introduction of GCNet, GENet, the effect is better than SENet

Yolov8 improves the CoTAttention attention mechanism, and the effect instantly kills CBAM and SE

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

Study Notes 1 - Common Attention Mechanism (Plug and Play)

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

YOLOV8 improvement: CVPR 2023 | Add EMA attention mechanism in different positions of C2f module, effectively increase points

YOLOv5, YOLOv8 improvements-BIFPN

YOLOv5, YOLOv8 improvements: BoTNet Transformer

What improvements does YOLOv8 have over the previous generation?

Attention Mechanism

Attention Mechanism

Attention Mechanism

Attention Mechanism

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