wulele2

wulele2's Stars

• IDEA-Research/Grounded-Segment-Anything

  Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything

  Language:Jupyter Notebook15.1k1143881.4k

• Dao-AILab/flash-attention

  Fast and memory-efficient exact attention

  Language:Python14k1201.1k1.3k

• NVIDIA/TensorRT

  NVIDIA® TensorRT™ is an SDK for high-performance deep learning inference on NVIDIA GPUs. This repository contains the open source components of TensorRT.

  Language:C++10.7k1573.8k2.1k

• tencent-ailab/IP-Adapter

  The image prompt adapter is designed to enable a pretrained text-to-image diffusion model to generate images with image prompt.

  Language:Jupyter Notebook5.2k62390337

• daquexian/onnx-simplifier

  Simplify your onnx model

  Language:C++3.8k51306383

• OpenGVLab/InternImage

  [CVPR 2023 Highlight] InternImage: Exploring Large-Scale Vision Foundation Models with Deformable Convolutions

  Language:Python2.5k34264233

• mit-han-lab/efficientvit

  Efficient vision foundation models for high-resolution generation and perception.

  Language:Python2.2k38135182

• isl-org/DPT

  Dense Prediction Transformers

  Language:Python2k4382258

• autodistill/autodistill

  Images to inference with no labeling (use foundation models to train supervised models).

  Language:Python1.9k21101155

• WXinlong/SOLO

  SOLO and SOLOv2 for instance segmentation, ECCV 2020 & NeurIPS 2020.

  Language:Python1.7k32239306

• ViTAE-Transformer/ViTPose

  The official repo for [NeurIPS'22] "ViTPose: Simple Vision Transformer Baselines for Human Pose Estimation" and [TPAMI'23] "ViTPose++: Vision Transformer for Generic Body Pose Estimation"

  Language:Python1.4k20140186

• ZhangGe6/onnx-modifier

  A tool to modify ONNX models in a visualization fashion, based on Netron and Flask.

  Language:JavaScript1.3k12103165

• microsoft/SimMIM

  This is an official implementation for "SimMIM: A Simple Framework for Masked Image Modeling".

  Language:Python924234287

• xieenze/PolarMask

  Code for 'PolarMask: Single Shot Instance Segmentation with Polar Representation'

  Language:Python8743674158

• qqlu/Entity

  EntitySeg Toolbox: Towards Open-World and High-Quality Image Segmentation

  Language:Jupyter Notebook696224358

• lxtGH/Awesome-Segmentation-With-Transformer

  [T-PAMI-2024] Transformer-Based Visual Segmentation: A Survey

  68710547

• NVIDIA-AI-IOT/nanosam

  A distilled Segment Anything (SAM) model capable of running real-time with NVIDIA TensorRT

  Language:Python64993058

• IDEA-Research/DN-DETR

  [CVPR 2022 Oral] Official implementation of DN-DETR

  Language:Python543166862

• Atten4Vis/ConditionalDETR

  This repository is an official implementation of the ICCV 2021 paper "Conditional DETR for Fast Training Convergence". (https://arxiv.org/abs/2108.06152)

  Language:Python36683350

• Jeff-sjtu/CrowdPose

  CrowdPose: Efficient Crowded Scenes Pose Estimation and A New Benchmark, CVPR 2019, Oral

  Language:Python31092338

• deepglint/unicom

  MLCD & UNICOM : Large-Scale Visual Representation Model

  Language:Python27672118

• impiga/Plain-DETR

  [ICCV2023] DETR Doesn’t Need Multi-Scale or Locality Design

  Language:Python19214254

• IDEA-Research/ED-Pose

  [ICLR 2023] Official implementation of the paper "Explicit Box Detection Unifies End-to-End Multi-Person Pose Estimation "

  Language:Python15332910

• OliverRensu/TinyMIM

  Language:Python1502117

• amazon-science/polygon-transformer

  Language:Python13111289

• murdockhou/Single-Stage-Multi-person-Pose-Machines

  A tensorlfow implementation about arxiv paper "Single-Stage Multi-Person Pose Machines" (SPM)

  Language:Python12971318

• AAboys/MobileFormer

  Code and models for mobile-former

  Language:Python11951918

• jaehyunnn/ViTPose_pytorch

  An unofficial implementation of ViTPose [Y. Xu et al., 2022]

  Language:Jupyter Notebook10311821

• YuYue525/MobileSAM-pytorch

  Reproduction of MobileSAM using pytorch

  Language:Python9411916

• cherubicXN/logocap

  Offical code of LOGO-CAP (CVPR' 22). https://arxiv.org/abs/2109.03622

  Language:Python33457