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

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

Enterprise 2023-06-19 17:35:53 views: null

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Origin blog.csdn.net/qq_44224801/article/details/130744792

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

[Lightweight] Practical improvement of YOLOv8 | Replacing the backbone network Backbone's Ghostnet

Summary of innovation points of MobileNet, MobileNetV2 and MobileNetV3

Improve YOLOv8 | Backbone Network | YOLOv8 Replaces ShuffleNetv2 of the Backbone Network | "ShuffleNet v2: A Practical Guide to Efficient Convolutional Neural Network Architecture Design"

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

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

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

4. CNNs network architecture - depth separable convolution (MobileNet v1, MobileNet v2, MobileNet v3, Xception, ShuffleNet v1, ShuffleNet v2)

Lightweight network: MobileNet-V2 (reproduced)

Practical improvement of YOLOv8 | Replacement of the backbone network Backbone (6) Lightweight model VanillaNet advanced chapter

Practical improvement of YOLOv8 | Replacing the backbone network Backbone (5) Lightweight 2023 latest network VanillaNet, the power of minimalism in deep learning

YOLOv5 improvement series (24) - MobileViTv3 that replaces the backbone network (a further upgrade of the mobile lightweight network)

chainer-backbone network backbone-ShuffleNet_V2 code reconstruction [with source code]

개선된 YOLOv5: MobileNEtv2, v3 기사 **포인트를 늘려야 함 | 혁신적이고 실용적인 | FastNet, ShuffleNet, mobileNet, Ghostnet 등을 포함한 통합 경량 백본 네트워크

YOLOv5 の改善: MobileNEtv2、v3 の記事 **ポイントを増やす必要があります | 革新的で実用的 | FastNet、ShuffleNet、mobileNet、Ghostnet などを含む統合軽量バックボーンネットワーク。

Yolov8 lightweight network: Ghostnet, G_ghost, Ghostnetv2 family battle (3): Huawei GhostNet is upgraded again, the best minimalist AI network G_ghost on the whole series of hardware | IJCV22

The backbone of YOLOV5 is changed to shuffleNet, and the effect is compared

【Lightweight Network】MobileNet Series

[Image Classification] [Deep Learning] [Lightweight Network] [Pytorch Version] Detailed Explanation of ShuffleNet_V2 Model Algorithm

Yolov5 lightweight network: Ghostnet, G_ghost, Ghostnetv2 family battle (2): Huawei Ghostnetv2, new SOTA for end-side small model performance | NeurIPS22 Spotlight

Improve YOLOv8 | Backbone Network | YOLOv8 replaces GhostNet of the backbone network | Get more features from cheap operations

From Inception v1, v2, v3, v4, RexNeXt to Xception to MobileNets, ShuffleNet, MobileNetV2

chainer-backbone network backbone-ShuffleNet_V1 code reconstruction [with source code]

[Convolutional Neural Network] VGG, ShuffleNet of the backbone network

Improve YOLOv8 | Backbone Network | YOLOv8 replaces MobileNetV3 of the backbone network | "Search for MobileNetV3"

MobileNet network model (V1, V2, V3)

MobileNet v1 v2 v3 network detailed explanation notes

Depth articles - classic History of Deep Learning Network model (five) GoogleNet elaborate structure and characteristics (including v1, v2, v3)

chainer-backbone network backbone-MobileNet_V1 code reconstruction [with source code]

Lightweight Network: Compare and SqueezeNet of MobileNet

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