YOLOv5, v7 improvement twenty-eight: ICLR 2022 rising point artifact - plug-and-play dynamic convolution ODConv - Code World

YOLOv5, v7 improvement twenty-eight: ICLR 2022 rising point artifact - plug-and-play dynamic convolution ODConv

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Origin blog.csdn.net/m0_70388905/article/details/127031843

YOLOv5, v7 improvement twenty-eight: ICLR 2022 rising point artifact - plug-and-play dynamic convolution ODConv

YOLOv5, v7, улучшение двадцать восемь: артефакт точки восхождения ICLR 2022 — динамическая свертка plug-and-play ODConv

YOLOv5, v7-Verbesserung 28: ICLR 2022 Rising-Point-Artefakt – dynamische Plug-and-Play-Faltung ODConv

YOLOv5, v7-Verbesserung 28: ICLR 2022 Rising-Point-Artefakt – dynamische Plug-and-Play-Faltung ODConv

YOLOv5, v7-Verbesserung 28: ICLR 2022 Rising-Point-Artefakt – dynamische Plug-and-Play-Faltung ODConv

YOLOv5, v7-Verbesserung 28: ICLR 2022 Rising-Point-Artefakt – dynamische Plug-and-Play-Faltung ODConv

YOLOv7 Improvement: CVPR 2023 | SCConv: Plug-and-Play Convolution for Spatial and Channel Reconstruction

YOLOv7 Improvement 22: Raising Point Artifact - Introducing Recursive Gated Convolution (gnConv)

Gain point artifact: small target performance improvement based on Yolov5/Yolov7

YoloV8 rising point artifact: CFPNet-ECVBlock's small target detection, plug and play, helping to detect rising points

DRConv dynamic region-aware convolution based on Yolov5/Yolov7, plug and play, with significant growth!

Artifact with rising points: CVPR2023 InceptionNeXt. When Inception meets ConvNeXt, plug and play in Yolov5/Yolov7/Yolov8, small target detection has obvious points.

[YOLOv8/YOLOv7/YOLOv5/YOLOv4/Faster-rcnn series algorithm improvement NO.65] CVPR 2023 | Tsinghua team's plug-and-play network architecture—Slide-Transformer

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

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

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

CVPR 2023 | Point-increasing artifact! SCConv: plug-and-play spatial and channel reconstructed convolutions

Improved YOLOv8 | Plug and Play | Full-Dimensional Dynamic Convolution | "OMNI-DIMENSIONAL DYNAMIC CONVOLUTION"

YOLOv5, v7 Improvement 26: Improved Feature Fusion Network PANet is ASFF Adaptive Feature Fusion Network

The first release of Yolov5/Yolov7 point increase artifact: Huawei Noah 2023's minimalist neural network model VanillaNet---VanillaBlock helps detection and achieves violent point increase

[YOLOv7/YOLOv5 series algorithm improvement NO.7] Loss function improvement

YOLOv7 Improvement: CVPR 2023 | SCConv: Plug-and-Play Convolution for Spatial and Channel Reconstruction

YOLOv7 Improvement: CVPR 2023 | SCConv: Plug-and-Play Convolution for Spatial and Channel Reconstruction

YOLOV5/YOLOV7/YOLOV8 Improvement Column

YOLOv8 improves the effective point increase series->Teach you step-by-step to add dynamic snake convolution (Dynamic Snake Convolution)

YOLOv7 algorithm reconstruction: personal self-improvement, as simple as YOLOv5, only 31 layers

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

YoloV5 improvement strategy: AAAI 2024 latest axial attention | Plug and play, the first choice for improvement | First launched on the entire network, including data sets and codes, ready to use out of the box!

YOLOv5、v7 改善 28: ICLR 2022 上昇点アーティファクト - プラグアンドプレイの動的畳み込み ODConv

YOLOv5, v7 개선 스물여덟: ICLR 2022 상승점 아티팩트 - 플러그 앤 플레이 동적 회선 ODConv

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