zqyJason

zqyJason

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ConvMAE

ConvMAE: Masked Convolution Meets Masked Autoencoders

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ConvNeXt-V2

Code release for ConvNeXt V2 model

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ultralytics

NEW - YOLOv8 🚀 in PyTorch > ONNX > OpenVINO > CoreML > TFLite

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InternImage

[CVPR 2023 Highlight] InternImage: Exploring Large-Scale Vision Foundation Models with Deformable Convolutions

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Swin-Transformer

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".

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YOLOv6

YOLOv6: a single-stage object detection framework dedicated to industrial applications.

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External-Attention-pytorch

🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐

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pytorch-image-models

The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more

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ACmix

Official repository of ACmix (CVPR2022)

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how-do-vits-work

(ICLR 2022 Spotlight) Official PyTorch implementation of "How Do Vision Transformers Work?"

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DAT

Repository of Vision Transformer with Deformable Attention (CVPR2022) and DAT++: Spatially Dynamic Vision Transformerwith Deformable Attention

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ViTAE-VSA

The official repo for [ECCV'22] "VSA: Learning Varied-Size Window Attention in Vision Transformers"

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yolo_research

based on yolo-high-level project (detect\pose\classify\segment\):include yolov5\yolov7\yolov8\ core ,improvement research ,SwintransformV2 and Attention Series. training skills, business customization, engineering deployment C

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CSWin-Transformer

CSWin Transformer: A General Vision Transformer Backbone with Cross-Shaped, CVPR 2022

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pale-transformer-pytorch

Pale Transformer implementation(Pale Transformer: A General Vision Transformer Backbone with Pale-Shaped Attention) This is an unofficial implementation. https://arxiv.org/abs/2112.14000

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RepLKNet-pytorch

Scaling Up Your Kernels to 31x31: Revisiting Large Kernel Design in CNNs (CVPR 2022)

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DINO

[ICLR 2023] Official implementation of the paper "DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detection"

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Detectron

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

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a-PyTorch-Tutorial-to-Object-Detection

SSD: Single Shot MultiBox Detector | a PyTorch Tutorial to Object Detection

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SSD

High quality, fast, modular reference implementation of SSD in PyTorch

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mmdetection

OpenMMLab Detection Toolbox and Benchmark

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centernet-pytorch

这是一个centernet-pytorch的源码,可以用于训练自己的模型。

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yolov5

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

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detr

End-to-End Object Detection with Transformers

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yolov4-pytorch

这是一个YoloV4-pytorch的源码,可以用于训练自己的模型。

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