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Jerry Jiarui XU's Projects

mmcv icon mmcv

Open MMLab Computer Vision Foundation

mnist-fltk icon mnist-fltk

Mnist try follow Thomas ZHOU https://github.com/thomaszhouan/mnist

ocnet.pytorch icon ocnet.pytorch

Please star the openseg.pytorch project for the updated code that achieve SOTA on 6 benchmarks!

odise icon odise

ODISE: Open-Vocabulary Panoptic Segmentation with Text-to-Image Diffusion Models

ofa icon ofa

Official repository of OFA (ICML 2022). Paper: OFA: Unifying Architectures, Tasks, and Modalities Through a Simple Sequence-to-Sequence Learning Framework

panopticapi icon panopticapi

COCO 2018 Panoptic Segmentation Task API (Beta version)

pyslowfast icon pyslowfast

PySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models.

pytorch-image-models icon pytorch-image-models

PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more

refer icon refer

Referring Expression Datasets API

sshpass icon sshpass

Mirror of http://sourceforge.net/projects/sshpass/ with support of auto confirmation and 2-Step Verification!

swin-transformer icon swin-transformer

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

timesformer icon timesformer

The official pytorch implementation of our paper "Is Space-Time Attention All You Need for Video Understanding?"

transformers icon transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

uvc icon uvc

Joint-task Self-supervised Learning for Temporal Correspondence (NeurIPS 2019)

vfs icon vfs

Rethinking Self-Supervised Correspondence Learning: A Video Frame-level Similarity Perspective, in ICCV 2021 (Oral)

vissl icon vissl

VISSL is FAIR's library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.

visual_prompting icon visual_prompting

Official implementation and data release of the paper "Visual Prompting via Image Inpainting".

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