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

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

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Origin blog.csdn.net/weixin_43694096/article/details/130644184

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

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

Improve YOLOv7 | Add [CA] [ECA] [CBAM] [SE] attention mechanism in ELAN module and ELAN-H module | Attach detailed structure diagram

Improve YOLOv7 | Add [Triplet] [SpatialGroupEnhance] [NAM] [S2] attention mechanism to the ELAN module | Attached detailed structure diagram

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

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

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

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

Yolov5/Yolov7 improvement --- attention mechanism: SimAM (no parameter Attention) and NAM (based on standardized attention module), the effect spikes CBAM, SE

Detailed explanation of c2f module of YOLOv8

pytorch code implements CoTAttention of attention mechanism

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

pytorch code implements SimAM of attention mechanism

YOLOV8 improvement: add the RepGhostBottleneck module in the C2f module, effectively increasing points

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

Plug and Play Lightweight Attention Mechanism ECA--Net

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

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

Attention mechanism - Convolutional Block Attention Module (CBAM)

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)

[Attention Mechanism Collection 2] BAM&SGE&DAN Detailed Explanation of Original Text, Structure and Source Code

YoloV8 improvement strategy: BAM bottleneck attention module | BAM detailed explanation and code comments | CBAM companion article | Effective points

Detailed explanation of mask in attention mechanism

Add attention mechanism process + add expert network

Open source top journal | DilateFormer: Plug and play multi-scale global attention mechanism

SK Attention of attention mechanism

SGE Attention of Attention Mechanism

Attention, attention mechanism

Attention Mechanism

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