tianhangpan's starred repositories

DeepPhotoStyle_pytorch

PyTorch implementation of "Deep Photo Style Transfer"

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PaddleOCR

Awesome multilingual OCR toolkits based on PaddlePaddle (practical ultra lightweight OCR system, support 80+ languages recognition, provide data annotation and synthesis tools, support training and deployment among server, mobile, embedded and IoT devices)

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CNN-based-Cloud-Detection-Methods

Understanding the Role of Receptive Field of Convolutional Neural Network for Cloud Detection in Landsat 8 OLI Imagery

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Chinese_license_plate_detection_recognition

yolov5 车牌检测 车牌识别 中文车牌识别 检测 支持12种中文车牌 支持双层车牌

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moco

PyTorch implementation of MoCo: https://arxiv.org/abs/1911.05722

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PyLDL

Label distribution learning (LDL) and label enhancement (LE) toolkit implemented in python.

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Awesome-Crowd-Counting

Awesome Crowd Counting

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segment-anything

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

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MFA

Official code for Motional Foreground Attention-based (MFA) Video Crowd Counting

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mPLUG

mPLUG: Effective and Efficient Vision-Language Learning by Cross-modal Skip-connections. (EMNLP 2022)

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ChatPLUG

A Chinese Open-Domain Dialogue System

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mPLUG-2

mPLUG-2: A Modularized Multi-modal Foundation Model Across Text, Image and Video (ICML 2023)

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mPLUG-Owl

mPLUG-Owl: The Powerful Multi-modal Large Language Model Family

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Youku-mPLUG

Youku-mPLUG: A 10 Million Large-scale Chinese Video-Language Pre-training Dataset and Benchmarks

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Bayesian-Crowd-Counting

Official Implement of ICCV 2019 oral paper Bayesian Loss for Crowd Count Estimation with Point Supervision

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lemniscate.pytorch

Unsupervised Feature Learning via Non-parametric Instance Discrimination

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SupContrast

PyTorch implementation of "Supervised Contrastive Learning" (and SimCLR incidentally)

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CSRNet-pytorch

CSRNet: Dilated Convolutional Neural Networks for Understanding the Highly Congested Scenes

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ZoeDepth

Metric depth estimation from a single image

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