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 - Code World

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

Enterprise 2023-05-04 22:26:34 views: null

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Origin blog.csdn.net/m0_63774211/article/details/130388613

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

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

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

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

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

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

Yolov5/Yolov7 improvement---attention mechanism: ICASSP2023 EMA is based on efficient multi-scale attention of cross-space learning, the effect is better than ECA, CBAM, CA | small target rises significantly

Attention mechanism - Convolutional Block Attention Module (CBAM)

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

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

[Attention] CBAM mechanism CV in companion -BAM module

Field smoke detection based on Yolov8 (4): Channel Priority Convolution Attention (CPCA), the effect is instantaneous to beat CBAM and SE, etc. | Latest publication of the Chinese Academy of Sciences in 2023

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

Attention mechanism CBAM implementation

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

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

Interpretation of Pytorch image processing attention mechanism SENet CBAM ECA module

Is attention mechanism better than matrix factorization? ——IS ATTENTION BETTER THAN MATRIX DECOMPOSITION?

CBAM attention mechanism - pytorch implementation

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

yolov5 added CBAM, SE, CA, ECA attention mechanism, pure code (22.3.1 also updated)

YOLOv5-6.1 adds attention mechanism (SE, CBAM, ECA, CA)

Attention module SE, CBAM, ECA three code implementations

Optimize and improve the receptive field attention convolution operation (RFAConv) of the YOLOv5 algorithm, and the effect is faster than CBAM and CA, etc.

YOLOV7 adds CBAM attention mechanism in different positions

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

CBAM: Convolutional Block Attention Module—— channel attention + spatial attention

[Deep Learning Attention Mechanism Series] - CBAM Attention Mechanism (with pytorch implementation)

Plug and Play Lightweight Attention Mechanism ECA--Net

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

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