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

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

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Origin blog.csdn.net/m0_51530640/article/details/131914854

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

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

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

SCConv: Spatial and Channel Reconstruction Convolution for Feature Redundancy

Улучшение YOLOV8: CVPR 2023 | SCConv: свертка пространственной и канальной реконструкции Plug-and-Play

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

Améliorations YOLOv5 : CVPR 2023 | SCConv : Convolution Plug-and-Play pour la reconstruction spatiale et des canaux

Улучшение YOLOv5: CVPR 2023 | SCConv: свертка пространственной и канальной реконструкции Plug-and-Play

Улучшение YOLOv5: CVPR 2023 | SCConv: свертка пространственной и канальной реконструкции Plug-and-Play

Улучшение YOLOV8: CVPR 2023 | SCConv: свертка пространственной и канальной реконструкции Plug-and-Play

Улучшение YOLOV8: CVPR 2023 | SCConv: свертка пространственной и канальной реконструкции Plug-and-Play

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

Melhoria YOLOv7: CVPR 2023 | SCConv: Convolução Plug-and-Play para Reconstrução Espacial e de Canais

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

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

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

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

CVPR 2023 | Plug-and-Play Attention Module HAT: Activate more useful pixels to boost low-level tasks significantly!

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

yolov7 improvement series

Interpretation of paper "Plug-and-Play Priors for Model Based Reconstruction"

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

Detailed explanation of YOLOv7 improvement

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

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

YOLOV5 improvement: CVPR2023: join the EfficientViT backbone: memory access efficient ViT with cascade group attention

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

Dynamic serpentine convolution tubular structure segmentation [CVPR 2023]

12. CVPR 2023 | SCConv: CNN model that can solve the redundancy of convolutional features + a brief discussion of large models and lightweight models

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