[Selected] Highway Intelligent Inspection System: CBAM Spatial Attention Mechanism Improved YOLOv5 - Code World

[Selected] Highway Intelligent Inspection System: CBAM Spatial Attention Mechanism Improved YOLOv5

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Origin blog.csdn.net/cheng2333333/article/details/134993636

[Selected] Highway Intelligent Inspection System: CBAM Spatial Attention Mechanism Improved YOLOv5

[Selected] Remote sensing image segmentation system: fused spatial pyramid pooling (FocalModulation) improved YOLOv8

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

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

Attention mechanism CBAM implementation

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

[Selected] Improved YOLOv5 lane line real-time segmentation system integrating Seg head network

YOLOV7 adds CBAM attention mechanism in different positions

CBAM attention mechanism - pytorch implementation

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

Attention mechanism - Convolutional Block Attention Module (CBAM)

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

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

[Attention] CBAM mechanism CV in companion -BAM module

Attention mechanism CBAM code implementation (sequel)

Robot Grabbing Series - CBAM Attention Mechanism

Detailed Attention Mechanism in Images (SEBlock | ECABlock | CBAM)

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

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

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

YOLOv5 Improvement | 2023 Attention Chapter | iRMB Inverted Residual Block Attention Mechanism (Lightweight 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 - Spatial Transformer Networks (STN)

Yolov5 (v6.1) added attention mechanism

YOLOV5 adds attention mechanism, taking ECAttention as an example (series)

To assist in intelligent highway maintenance, a highway crack detection and identification system was developed and constructed based on YOLOv5s integrated SPD-BIFPN-SE.

Improved version of ASPP (2): CBAM (convolutional attention module) is added to the ASPP module, namely CBAM_ASPP

English paper (sci) Interpretation and reproduction [NO.7] Improved YOLOv5s target detection algorithm based on attention mechanism

Interpretation of Pytorch image processing attention mechanism SENet CBAM ECA module

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

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