Rosun's starred repositories

yolov5

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

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PaddleDetection

Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.

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mmsegmentation

OpenMMLab Semantic Segmentation Toolbox and Benchmark.

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TNN

TNN: developed by Tencent Youtu Lab and Guangying Lab, a uniform deep learning inference framework for mobile、desktop and server. TNN is distinguished by several outstanding features, including its cross-platform capability, high performance, model compression and code pruning. Based on ncnn and Rapidnet, TNN further strengthens the support and performance optimization for mobile devices, and also draws on the advantages of good extensibility and high performance from existed open source efforts. TNN has been deployed in multiple Apps from Tencent, such as Mobile QQ, Weishi, Pitu, etc. Contributions are welcome to work in collaborative with us and make TNN a better framework.

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simclr

SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners

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sort

Simple, online, and realtime tracking of multiple objects in a video sequence.

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introRL

Intro to Reinforcement Learning (强化学习纲要)

awesome-semi-supervised-learning

😎 An up-to-date & curated list of awesome semi-supervised learning papers, methods & resources.

panoptic-deeplab

This is Pytorch re-implementation of our CVPR 2020 paper "Panoptic-DeepLab: A Simple, Strong, and Fast Baseline for Bottom-Up Panoptic Segmentation" (https://arxiv.org/abs/1911.10194)

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Semantic-Segmentation-Loss-Functions

This Repository is implementation of majority of Semantic Segmentation Loss Functions

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Graph-U-Nets

Pytorch implementation of Graph U-Nets (ICML19)

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pytorch_diffusion

PyTorch reimplementation of Diffusion Models

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mseg-semantic

An Official Repo of CVPR '20 "MSeg: A Composite Dataset for Multi-Domain Segmentation"

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SCNet

The official PyTorch implementation of CVPR 2020 paper "Improving Convolutional Networks with Self-Calibrated Convolutions"

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vps

Official pytorch implementation for "Video Panoptic Segmentation" (CVPR 2020 Oral)

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MAST

MAST: A Memory-Augmented Self-supervised Tracker (CVPR 2020)

fewshot-CAN

Code of Cross Attention Network for Few-shot Classification (NeurIPS 2019).

AugFPN

source code of AugFPN

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MCIS_wsss

Code for ECCV 2020 paper (oral): Mining Cross-Image Semantics for Weakly Supervised Semantic Segmentation

DeeperGNN

Official PyTorch implementation of "Towards Deeper Graph Neural Networks" [KDD2020]

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PseudoLabeling

Official implementation of "Pseudo-Labeling and Confirmation Bias in Deep Semi-Supervised Learning"

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TubeTK

Official implementation of paper: TubeTK: Adopting Tubes to Track Multi-Object in a One-Step Training Model (CVPR 2020 oral)

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realtime_panoptic

Official PyTorch implementation of CVPR 2020 Oral: Real-Time Panoptic Segmentation from Dense Detections

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CCM

[ECCV2020] Content-Consistent Matching for Domain Adaptive Semantic Segmentation

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omeganet

Distilled Semantics for Comprehensive Scene Understanding from Videos [CVPR 2020]

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SUM-GAN-AAE

A PyTorch Implementation of SUM-GAN-AAE from "Unsupervised Video Summarization via Attention-Driven Adversarial Learning" (MMM 2020)

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instance_segmentation_with_pixel_embeddings

Instance segmentation via deep pixel embedding

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gunet

Pytorch implementation of Graph U-Nets (ICML19)

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