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

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

Enterprise 2023-05-04 22:22:37 views: null

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Origin blog.csdn.net/m0_63774211/article/details/130487396

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

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

Улучшение YoloV8 --- механизм внимания: введение GCNet, GENet, эффект лучше, чем у SENet

Улучшение YoloV8 --- механизм внимания: введение GCNet, GENet, эффект лучше, чем у SENet

Улучшение YoloV8 --- механизм внимания: введение GCNet, GENet, эффект лучше, чем у SENet

YoloV5/YoloV7 개선 --- 주의 메커니즘: GCNet, GENet 도입, 효과는 SENet보다 우수

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

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

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

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

SENet attention mechanism - pytorch implementation

SENET paper notes attention mechanism

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

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

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)

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

YoloV8 improvement strategy: RepViT improves YoloV8, lightweight Block helps YoloV8 achieve better mobility

Deep Learning Theory (18) -- SENet of Attention Mechanism

SENet (Squeeze-and-Excitation Network) attention mechanism

YoloV8 improvement strategy: Based on hierarchical attention FasterViT, let YoloV8 achieve a leap in performance

yolov5+bytetrack target tracking, the effect is better than deepsort

[Deep learning] (8) Channel attention mechanism (SEnet, ECAnet) in CNN, with complete code of Tensorflow

Улучшение YoloV5/YoloV7 --- механизм внимания: введение GCNet, GENet, эффект лучше, чем у SENet

Улучшение YoloV5/YoloV7 --- механизм внимания: введение GCNet, GENet, эффект лучше, чем у SENet

Улучшение YoloV5/YoloV7 --- механизм внимания: введение GCNet, GENet, эффект лучше, чем у SENet

Улучшение YoloV5/YoloV7 --- механизм внимания: введение GCNet, GENet, эффект лучше, чем у SENet

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