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

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

Enterprise 2023-06-25 12:36:05 views: null

Table of contents

1. Polarized Self-Attention

2. Implementation of Polarized Self-Attention based on Yolov5

2.1 Add to common.py

2.2 Add to yolo.py:

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Origin blog.csdn.net/m0_63774211/article/details/131372405

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

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

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

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

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

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

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

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

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

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

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

YOLOV7 adds CBAM attention mechanism in different positions

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

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

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)

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

Self-Attention self-attention mechanism

Pytorch code realizes Parallel Polarized Self Attention of attention mechanism

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

YOLOv5 Improvement Series (23) - MobileViTv2 to replace the backbone network (an efficient separable self-attention mechanism for mobile vision Transformer)

Amélioration de Yolov5/Yolov7 --- mécanisme d'attention : Polarized Self-Attention, l'effet pointe CBAM, SE

Attention mechanism CBAM implementation

Yolov5/Yolov7 개선 --- 주의 메커니즘: Polarized Self-Attention, 효과 스파이크 CBAM, SE

Self-attention mechanism and attention mechanism

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

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

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

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