acheman

acheman's Stars

• microsoft/Swin-Transformer

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

  Language:Python14.1k1273162.1k

• diff-usion/Awesome-Diffusion-Models

  A collection of resources and papers on Diffusion Models

  Language:HTML11.3k26848952

• Lyken17/pytorch-OpCounter

  Count the MACs / FLOPs of your PyTorch model.

  Language:Python4.9k29171528

• cmhungsteve/Awesome-Transformer-Attention

  An ultimately comprehensive paper list of Vision Transformer/Attention, including papers, codes, and related websites

  4.7k13030490

• lyuwenyu/RT-DETR

  [CVPR 2024] Official RT-DETR (RTDETR paddle pytorch), Real-Time DEtection TRansformer, DETRs Beat YOLOs on Real-time Object Detection. 🔥 🔥 🔥

  Language:Python2.9k27477331

• mit-han-lab/efficientvit

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

  Language:Python2.5k43149200

• IDEA-Research/DINO

  [ICLR 2023] Official implementation of the paper "DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detection"

  Language:Python2.3k32266265

• MzeroMiko/VMamba

  VMamba: Visual State Space Models，code is based on mamba

  Language:Python2.3k17342152

• IDEA-Research/awesome-detection-transformer

  Collect some papers about transformer for detection and segmentation. Awesome Detection Transformer for Computer Vision (CV)

  1.3k5810113

• snap-research/EfficientFormer

  EfficientFormerV2 [ICCV 2023] & EfficientFormer [NeurIPs 2022]

  Language:Python1k375892

• Lextal/pspnet-pytorch

  PyTorch implementation of PSPNet segmentation network

  Language:Python5891120118

• rayleizhu/BiFormer

  [CVPR 2023] Official code release of our paper "BiFormer: Vision Transformer with Bi-Level Routing Attention"

  Language:Python51045141

• bubbliiiing/classification-pytorch

  这是各个主干网络分类模型的源码，可以用于训练自己的分类模型。

  Language:Python40753681

• bubbliiiing/pspnet-pytorch

  这是一个pspnet-pytorch的源码，可以用于训练自己的模型。

  Language:Python37653670

• huoxiangzuo/HiFuse

  HiFuse: Hierarchical Multi-Scale Feature Fusion Network for Medical Image Classification

  Language:Python21911718

• yuhuan-wu/P2T

  [TPAMI22] Pyramid Pooling Transformer for Scene Understanding

  Language:Python20282019

• LeapLabTHU/Slide-Transformer

  Official repository of Slide-Transformer (CVPR2023)

  Language:Python1621296

• shiyemin/voc2coco

  Convert pascol voc annotation xml to COCO json format.

  Language:Python1605787

• VDIGPKU/DynamicDet

  [CVPR 2023] DynamicDet: A Unified Dynamic Architecture for Object Detection

  Language:Python11752815

• SysCV/cascade-detr

  [ICCV'23] Cascade-DETR: Delving into High-Quality Universal Object Detection

  Language:Python961894

• tristandb/EfficientDet-PyTorch

  Implementation of EfficientDet for PyTorch. EfficientDet implements BiFPN and a compound scaling method for object detection.

  Language:Python73111013

• kuixu/Linear-Multihead-Attention

  Reproducing the Linear Multihead Attention introduced in Linformer paper (Linformer: Self-Attention with Linear Complexity)

  Language:Python724314

• BIVLab-USTC/DETRDistill

  [ICCV2023] DETRDistill: A Universal Knowledge Distillation Framework for DETR-families

  Language:Jupyter Notebook45036

• ZhangGongjie/IMFA

  Language:Python435110

• LouisNUST/CrackFormer-II

  Language:Python352113

• SteveTsui/Q-DETR

  Language:Python27581

• jaketae/param-share-transformer

  PyTorch implementation of Lessons on Parameter Sharing across Layers in Transformers

  Language:Python25213

• XLearning-SCU/2022-NeurIPS-MSANet

  Multi-Scale Adaptive Network for Single Image Denoising (NeurIPS 2022)

  11212

• ZhaoNan1/LECSFormer

  Language:Python4121

• yiduohao/DN-DETR-swin

  Language:Python2110