Fuyun791

Fuyun791's Stars

• chanchanchan97/ICAFusion

  ICAFusion: Iterative Cross-Attention Guided Feature Fusion for Multispectral Object Detection, Pattern Recognition

  Language:Python1237

• maklachur/Mamba-in-Computer-Vision

  Mamba in Vision: A Comprehensive Survey of Techniques and Applications

  632

• hustvl/Vim

  [ICML 2024] Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model

  Language:Python3k197

• MzeroMiko/VMamba

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

  Language:Python2.2k138

• implus/SKNet

  Code for our CVPR 2019 paper: Selective Kernel Networks; See zhihu：https://zhuanlan.zhihu.com/p/59690223

  Language:C++594106

• IDEA-Research/GroundingDINO

  [ECCV 2024] Official implementation of the paper "Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection"

  Language:Python6.7k681

• Linwei-Chen/FreqFusion

  TPAMI：Frequency-aware Feature Fusion for Dense Image Prediction

  Language:Jupyter Notebook2519

• icey-zhang/SuperYOLO

  SuperYOLO is accepted by TGRS

  Language:Python32654

• zcablii/LSKNet

  (IJCV2024 & ICCV2023) LSKNet: A Foundation Lightweight Backbone for Remote Sensing

  Language:Python47436

• state-spaces/mamba

  Mamba SSM architecture

  Language:Python13.1k1.1k

• open-mmlab/mmpretrain

  OpenMMLab Pre-training Toolbox and Benchmark

  Language:Python3.4k1.1k

• 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:Python32.2k4.8k

• 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

• open-mmlab/mmdetection

  OpenMMLab Detection Toolbox and Benchmark

  Language:Python29.6k9.5k

• open-mmlab/mmyolo

  OpenMMLab YOLO series toolbox and benchmark. Implemented RTMDet, RTMDet-Rotated,YOLOv5, YOLOv6, YOLOv7, YOLOv8,YOLOX, PPYOLOE, etc.

  Language:Python3k539

• Whiffe/YOLOv5-Tools-main

  Language:Python53

• pytorch/vision

  Datasets, Transforms and Models specific to Computer Vision

  Language:Python16.2k7k

• we0091234/crnn_plate_recognition

  crnn chinese_plate_recognition

  Language:Python30061

• BangguWu/ECANet

  Code for ECA-Net: Efficient Channel Attention for Deep Convolutional Neural Networks

  Language:Python1.3k198

• huawei-noah/Efficient-AI-Backbones

  Efficient AI Backbones including GhostNet, TNT and MLP, developed by Huawei Noah's Ark Lab.

  Language:Python4k707

• google-research/vision_transformer

  Language:Jupyter Notebook10.4k1.3k

• albumentations-team/albumentations

  Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125

  Language:Python14.2k1.6k

• microsoft/nni

  An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

  Language:Python14k1.8k

• z1069614715/objectdetection_script

  一些关于目标检测的脚本的改进思路代码，详细请看readme.md

  Language:Python5.4k477

• ma-xu/EfficientMod

  [ICLR 2024 poster] Efficient Modulation for Vision Networks

  Language:Python482

• WZMIAOMIAO/deep-learning-for-image-processing

  deep learning for image processing including classification and object-detection etc.

  Language:Python23.1k8k

• pytorch/examples

  A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

  Language:Python22.4k9.5k

• datawhalechina/daily-interview

  Datawhale成员整理的面经，内容包括机器学习，CV，NLP，推荐，开发等，欢迎大家star

  Language:HTML2.6k426

• njvisionpower/Safety-Helmet-Wearing-Dataset

  Safety helmet wearing detect dataset, with pretrained model

  Language:Python1.5k407

• LabSAINT/SPD-Conv

  Code for ECML PKDD 2022 paper: No More Strided Convolutions or Pooling: A Novel CNN Architecture for Low-Resolution Images and Small Objects

  Language:Python23427