GinPd

GinPd's Stars

• Wyxdm/AMNet

  This is the official implementation for our NeurIPS 2023 paper "Focus on Query: Adversarial Mining Transformer for Few-Shot Segmentation".

  Language:Python191

• ily666666/pcas

  pcas

  Language:Python2

• GuangxingHan/FCT

  Code for CVPR 2022 Oral paper: 'Few-Shot Object Detection with Fully Cross-Transformer'

  Language:Python7514

• amusi/CVPR2024-Papers-with-Code

  CVPR 2024 论文和开源项目合集

  18.1k2.6k

• DataXujing/YOLOv8

  :fire: Official YOLOv8模型训练和部署

  Language:Python68188

• ultralytics/ultralytics

  Ultralytics YOLO11 🚀

  Language:Python31.9k6.1k

• sinahmr/DIaM

  Official PyTorch Implementation of DIaM in "A Strong Baseline for Generalized Few-Shot Semantic Segmentation" (CVPR 2023)

  Language:Python642

• Aldrich2y/MIANet

  Official PyTorch Implementation of MIANet: Aggregating Unbiased Instance and General Information for Few-Shot Semantic Segmentation(CVPR 2023).

  Language:Python262

• GitGyun/visual_token_matching

  [ICLR'23 Oral] Universal Few-shot Learning of Dense Prediction Tasks with Visual Token Matching

  Language:Python25113

• white0rchardpUnK/Cpp-Primer-5th-Solutions

  Solutions for C++ Primer 5th edition exercises

  Language:C++15226

• Dingyuan-Chen/shp2coco

  a tool to convert .shp file (ArcGIS format) to .json file (COCO datasets).

  Language:Python5512

• chenyuntc/simple-faster-rcnn-pytorch

  A simplified implemention of Faster R-CNN that replicate performance from origin paper

  Language:Jupyter Notebook4k1.1k

• lin-honghui/tianchi_CountyAgriculturalBrain_top1

  TIANCHI天池 2019县域农业大脑AI挑战赛 1/1520

  Language:Python15149

• fundamentalvision/Deformable-DETR

  Deformable DETR: Deformable Transformers for End-to-End Object Detection.

  Language:Python3.2k520

• 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

• chrieke/InstanceSegmentation_Sentinel2

  🌱 Deep Learning for Instance Segmentation of Agricultural Fields - Master thesis

  Language:Jupyter Notebook391121

• weiaicunzai/pytorch-cifar100

  Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet, NasNet, Residual Attention Network, SENet, WideResNet)

  Language:Python4.3k1.2k

• xunull/read-Deformable-DETR

  Language:Python311

• dahyun-kang/ifsl

  [CVPR'22] Official PyTorch implementation of Integrative Few-Shot Learning for Classification and Segmentation

  Language:Python12616

• nndl/practice-in-paddle

  《神经网络与深度学习》案例与实践

  Language:Jupyter Notebook800177

• mboudiaf/RePRI-for-Few-Shot-Segmentation

  (CVPR 2021) Code for our method RePRI for Few-Shot Segmentation. Paper at http://arxiv.org/abs/2012.06166

  Language:Python16727

• YanFangCS/CyCTR-Pytorch

  CyCTR implemented using pytorch

  Language:Python777

• xiong-zhitong/DACM-Few-shot.pytorch

  Code for Doubly deformable aggregation of covariance matrices for few-shot segmentation

  Language:Python16

• Reagan1311/ASGNet

  Adaptive Prototype Learning and Allocation for Few-Shot Segmentation (CVPR 2021)

  Language:Python11715

• GatorSense/Histogram_Layer

  Histogram layer code for "Histogram Layers for Texture Analysis" (https://arxiv.org/abs/2001.00215).

  Language:Python308

• ChenMnZ/CF-ViT

  (AAAI 2023 Oral) Pytorch implementation of "CF-ViT: A General Coarse-to-Fine Method for Vision Transformer"

  Language:Python1017

• MLNLP-World/AI-Paper-Collector

  MLNLP社区用来更好进行论文搜索的工具。Fully-automated scripts for collecting AI-related papers

  Language:Python1.1k119

• cvlab-yonsei/SFNet

  An official implementation of "SFNet: Learning Object-aware Semantic Correspondence" (CVPR 2019, TPAMI 2020) in PyTorch.

  Language:Python917

• xiaojianzhong/SFNet

  Semantic Flow for Fast and Accurate Scene Parsing

  Language:Python111

• lanyunzhu99/Learning-Statistical-Texture-for-Semantic-Segmentation

  Pytorch code for CVPR2021 paper "Learning Statistical Texture for Semantic Segmentation"

  Language:Python9613