zhaoleo1111

zhaoleo1111

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Object-Detection-and-Tracking

YOLO & RCNN Object Detection and Multi-Object Tracking

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ACAR-Net

[CVPR 2021] Actor-Context-Actor Relation Network for Spatio-temporal Action Localization

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deep-learning-for-image-processing

deep learning for image processing including classification and object-detection etc.

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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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Human-Falling-Detect-Tracks

AlphaPose + ST-GCN + SORT.

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HybridNets

HybridNets: End-to-End Perception Network

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lightly

A python library for self-supervised learning on images.

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MultiNet

Real-time Joint Semantic Reasoning for Autonomous Driving

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multiyolov5

joint detection and semantic segmentation, based on ultralytics/yolov5,

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RepDistiller

[ICLR 2020] Contrastive Representation Distillation (CRD), and benchmark of recent knowledge distillation methods

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SciencePlots

Matplotlib styles for scientific plotting

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Torch-Pruning

[CVPR-2023] Towards Any Structural Pruning; LLMs / Diffusion / YOLOv8 / CNNs / Transformers

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Train_Custom_Dataset

标注自己的数据集,训练、评估、测试、部署自己的人工智能算法

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Ultralight-SimplePose

Ultra-lightweight human body posture key point CNN model. ModelSize:2.3MB HUAWEI P40 NCNN benchmark: 6ms/img,

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visdrone-yolo

visdrone detection

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vit-pytorch

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

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yolact_edge

The first competitive instance segmentation approach that runs on small edge devices at real-time speeds.

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yolo-tensorrt

TensorRT8.Support Yolov5n,s,m,l,x .darknet -> tensorrt. Yolov4 Yolov3 use raw darknet *.weights and *.cfg fils. If the wrapper is useful to you,please Star it.

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YoloAll

YoloAll is a collection of yolo all versions. you you use YoloAll to test yolov3/yolov5/yolox/yolo_fastest

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YOLOP

You Only Look Once for Panopitic Driving Perception.(https://arxiv.org/abs/2108.11250)

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YOLOv5_NCNN

🍅 Deploy ncnn on mobile phones. Support Android and iOS. 移动端ncnn部署,支持Android与iOS。

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zipfls

This repo is the official megengine implementation of the ECCV2022 paper: Efficient One Pass Self-distillation with Zipf's Label Smoothing.

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