YOLOV5/YOLOV8 improvement: CVPR23: join the ConvNeXt V2 backbone, effectively increase points - 코드 세계

YOLOV5/YOLOV8 improvement: CVPR23: join the ConvNeXt V2 backbone, effectively increase points

발 2023-06-25 16:34:19 독서 시간: null

NoSuchKey

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출처blog.csdn.net/m0_51530640/article/details/131126340

YOLOV5/YOLOV8 improvement: CVPR23: join the ConvNeXt V2 backbone, effectively increase points

YOLOV5/YOLOV8 improvement: CVPR23: join the ConvNeXt V2 backbone, effectively increase points

YOLOV5/YOLOV8 improvement: CVPR23: join the ConvNeXt V2 backbone, effectively increase points

YOLOV5/YOLOV8 improvement: CVPR23: join the ConvNeXt V2 backbone, effectively increase points

YOLOV5/YOLOV8 improvement: CVPR23: join the ConvNeXt V2 backbone, effectively increase points

YOLOV5/YOLOV8 improvement: CVPR23: join the ConvNeXt V2 backbone, effectively increase points

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

YOLOV8 improvement: add Wiseiou, effectively increase points

YoloV5 improvement strategy: Frequency domain multi-axis representation learning module | First release on the entire network | Efficient increase points | Detailed code comments

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

YoloV8 improvement strategy: NWD new paradigm of small target detection, helping YoloV5 and V8 to violently increase their points on small targets

YOLOV8 improvement: CVPR2023: Join the EfficientViT backbone: memory efficient ViT with cascade group attention

YOLOV8 improvement: add the RepGhostBottleneck module in the C2f module, effectively increasing points

Yolov8 actual combat: traffic signal roadsign recognition, by adding CVPR203 DCNV3 and BiLevelRoutingAttention, violent increase

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

Yolov8 improvement --- attention mechanism: ShuffleAttention, ECA, EffectiveSE, SE

Practical improvement of YoloV5: using MPDIoU to improve YoloV5

YoloV8 improvement strategy: SPD-Conv is added to YoloV8, allowing small targets to have nowhere to hide

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

[YOLOv5] Backbone, Neck, Head 모듈별 상세설명

YOLOV8 improvement: Add RCS-OSA module to improve detection speed

Practical improvement of YOLOv8 | Replacement of the backbone network Backbone (3) lightweight model ShuffleNetV2

[Lightweight] Practical improvement of YOLOv8 | Replacing the backbone network Backbone with GhostnetV2

Target detection algorithm improvement series embedding Deformable ConvNets v2 (DCNv2)

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

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

Improved YOLOv8: combined with lightweight backbone, Huawei's top publication IJCV2022: G-GhostNet!

YOLOv5, YOLOv8 개선-BIFPN

YOLOv5, YOLOv8 개선: BoTNet Transformer

Improved YOLOv5: MobileNEtv2, v3 articles **Must increase points | Innovative and practical | Unified lightweight backbone network, including FastNet, ShuffleNet, mobileNet, Ghostnet, etc.

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