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

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

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Origin blog.csdn.net/java1314777/article/details/135443454

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

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

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

Yolov5 (v6.1) added attention mechanism

YOLOV5 improvement: CVPR 2023 | Add EMA attention mechanism in different positions of C3 block, effectively increase points

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

Attention Mechanism, Decoder and Encoder Improvements

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

YOLOV7 adds CBAM attention mechanism in different positions

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

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

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

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

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

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

SK Attention of attention mechanism

SGE Attention of Attention Mechanism

Attention, attention mechanism

Attention Mechanism

Attention Mechanism

Attention Mechanism

Attention Mechanism

Attention Mechanism

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

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

YOLOv5+ hybrid attention mechanism increased by another 4.3%, and the Transformer hybrid design can still roll

[Deep Learning] Attention Mechanism (5)

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

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

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

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