YOLOv8's latest improvement series: YOLOv8+RepViT, re-examines mobile CNN from the perspective of ViT, effectively improving the model detection effect! ! ! 1.3ms delay-Tsinghua ICCV 2023 latest open source mobile network architecture RepViT - Code World

YOLOv8's latest improvement series: YOLOv8+RepViT, re-examines mobile CNN from the perspective of ViT, effectively improving the model detection effect! ! ! 1.3ms delay-Tsinghua ICCV 2023 latest open source mobile network architecture RepViT

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YOLOv8's latest improvement series: YOLOv8+RepViT, re-examines mobile CNN from the perspective of ViT, effectively improving the model detection effect! ! ! 1.3ms delay-Tsinghua ICCV 2023 latest open source mobile network architecture RepViT

1.3ms delay | Tsinghua ICCV 2023 The latest open source mobile network architecture RepViT, the speed is sneaky!

1.3ms delay | Tsinghua ICCV 2023 The latest open source mobile neural network architecture RepViT, flying fast!

YOLOv5 Improvement Series (21) - RepViT to replace the backbone network (Tsinghua ICCV 2023|The latest open source mobile terminal ViT)

RepViT: Revisiting mobile CNN from the perspective of ViT

RepViT: Revisiting mobile CNN from the perspective of ViT

1.3ms delay | Tsinghua ICCV 2023 The latest open source mobile neural network architecture RepViT, flying fast!

Deep learning paper: RepViT: Revisiting Mobile CNN From ViT Perspective and its PyTorch implementation

Practical improvement of YOLOv8 | Replacing the backbone network Backbone with the 2023 latest model LSKNet, rotating target detection SOTA

YOLOv8’s latest improvement series: Optimize CIoU to Wise-IoU to help improve detection performance and effectively improve small target detection accuracy! ! ! Far ahead! ! ! ! !

YOLOv8 latest improvement series: YOLOV8 backbone improvements - Huawei Noah proposes a new backbone architecture VanillaNet. YOLOv8 integrates the power of deep learning minimalism to greatly improve the robustness of the model! !

The latest overview of the YOLO series from YOLOv1 to YOLOv8 [April 2023]

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

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

YOLOv8/YOLOv7/YOLOv5/YOLOv4/Faster-rcnn series algorithm improvements [NO.84] are integrated into the 2023 latest large convolution kernel CNN architecture RepLKNet upgraded version-UniRepLKNet

YOLOv5 improves RepViT structure: Tsinghua ICCV 2023, original Bottleneck design

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

(1) GAN Improvement Series | The latest ICCV2021 Generative Adversarial Network GAN Papers Summary

Field smoke detection based on Yolov8 (4): Channel Priority Convolution Attention (CPCA), the effect is instantaneous to beat CBAM and SE, etc. | Latest publication of the Chinese Academy of Sciences in 2023

Reproduce the latest MPDIoU improvement of YOLOv8: effective and accurate bounding box regression loss, defeating G/E/CIoU, the effect is obvious! ! !

Délai de 1,3 ms | Tsinghua ICCV 2023 La dernière architecture de réseau mobile open source RepViT, la vitesse est sournoise !

YOLOv5 Improvement Series (19) - Swin TransformerV1 to replace the backbone network (ViT model with smaller parameters)

Nvidia's latest open source | FasterViT: Efficient neural network architecture for hardware optimization

Deploy yolov5 to the mobile phone through Android Studio (2023 latest version suitable for newbies)

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

The first launch of Yolov8's point-up artifact: Huawei Noah 2023's minimalist neural network model VanillaNet---VanillaBlock helps detection and achieves violent point-up

YOLOv8 の最新の改善シリーズ: YOLOv8+RepViT は、ViT の観点からモバイル CNN を再検討し、モデル検出効果を効果的に向上させます。！！1.3msの遅延 - 清華ICCV 2023最新オープンソースモバイルネットワークアーキテクチャ RepViT

Alibaba's 2023 latest "billion-level concurrent system architecture design" full-color notes open source

Deep-Learning-Artikel: RepViT: Revisiting Mobile CNN From ViT Perspective und seine PyTorch-Implementierung

Deep-Learning-Artikel: RepViT: Revisiting Mobile CNN From ViT Perspective und seine PyTorch-Implementierung

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