rrq980220

rrq980220's Stars

• srwi/EverythingToolbar

  Everything integration for the Windows taskbar.

  Language:C#9.9k434

• GothicAi/InstaBoost-pypi

  Language:Python4711

• GothicAi/Instaboost

  Code for ICCV2019 paper "InstaBoost: Boosting Instance Segmentation Via Probability Map Guided Copy-Pasting"

  Language:Python39946

• TommyZihao/MMSegmentation_Tutorials

  Jupyter notebook tutorials for MMSegmentation

  Language:Jupyter Notebook50387

• hynnsk/HP

  This is the official pytorch implementation of "Leveraging Hidden Positives for Unsupervised Semantic Segmentation" (CVPR 2023).

  Language:Python756

• huggingface/peft

  🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.

  Language:Python16.3k1.6k

• amazon-science/video-contrastive-learning

  Video Contrastive Learning with Global Context, ICCVW 2021

  Language:Python15816

• open-mmlab/mmpretrain

  OpenMMLab Pre-training Toolbox and Benchmark

  Language:Python3.4k1.1k

• facebookresearch/dinov2

  PyTorch code and models for the DINOv2 self-supervised learning method.

  Language:Jupyter Notebook9.1k811

• huggingface/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

  Language:Python32.1k4.8k

• yzhao062/pyod

  A Python Library for Outlier and Anomaly Detection, Integrating Classical and Deep Learning Techniques

  Language:Python8.6k1.4k

• facebookresearch/mvit

  Code Release for MViTv2 on Image Recognition.

  Language:Python39247

• facebookresearch/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.

  Language:Jupyter Notebook47.4k5.6k

• taoyang1122/adapt-image-models

  [ICLR'23] AIM: Adapting Image Models for Efficient Video Action Recognition

  Language:Python27621

• Megvii-BaseDetection/YOLOX

  YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/

  Language:Python9.4k2.2k

• facebookresearch/mae

  PyTorch implementation of MAE https//arxiv.org/abs/2111.06377

  Language:Python7.3k1.2k

• openai/CLIP

  CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

  Language:Jupyter Notebook25.7k3.3k

• baaivision/EVA

  EVA Series: Visual Representation Fantasies from BAAI

  Language:Python2.3k167

• czczup/ViT-Adapter

  [ICLR 2023 Spotlight] Vision Transformer Adapter for Dense Predictions

  Language:Python1.3k138

• mhamilton723/STEGO

  Unsupervised Semantic Segmentation by Distilling Feature Correspondences

  Language:Jupyter Notebook725147

• Max-Manning/autoregunsupseg

  Reimplementation of "Autoregressive Unsupervised Image Segmentation" by Ouali et al (ECCV 2020)

  Language:Python243

• xu-ji/IIC

  Invariant Information Clustering for Unsupervised Image Classification and Segmentation

  Language:Python865207

• facebookresearch/simsiam

  PyTorch implementation of SimSiam https//arxiv.org/abs/2011.10566

  Language:Python1.2k176

• IDEA-Research/MaskDINO

  [CVPR 2023] Official implementation of the paper "Mask DINO: Towards A Unified Transformer-based Framework for Object Detection and Segmentation"

  Language:Python1.2k105

• theFoxofSky/ddfnet

  The official implementation of the CVPR2021 paper: Decoupled Dynamic Filter Networks

  Language:Python21434

• damo-cv/TransFGU

  Language:Python253

• jacobgil/pytorch-grad-cam

  Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.

  Language:Python10.5k1.6k

• shirgur/AGFVisualization

  Official code for "Attribution Guided Factorization for Neural Networks Visualization"

  Language:Python165

• MkuuWaUjinga/leopart

  Language:Python9714

• facebookresearch/moco

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

  Language:Python4.8k785