hxy2017

hxy2017's Stars

• gaobb/Few-Shot-Object-Detection-Papers

  Few Shot Object Detection Papers

  Language:HTML8711

• lxn96/awesome-few-shot-object-detection

  Collect some papers and datastes about few-shot object detection for computer vision.

  15115

• ZhangGongjie/Meta-DETR

  [T-PAMI 2022] Meta-DETR for Few-Shot Object Detection: Official PyTorch Implementation

  Language:Python38583

• ucbdrive/few-shot-object-detection

  Implementations of few-shot object detection benchmarks

  Language:Python1.1k224

• note286/xduts

  Xidian University TeX Suite 西安电子科技大学LaTeX套装

  Language:TeX71473

• GMvandeVen/continual-learning

  PyTorch implementation of various methods for continual learning (XdG, EWC, SI, LwF, FROMP, DGR, BI-R, ER, A-GEM, iCaRL, Generative Classifier) in three different scenarios.

  Language:Jupyter Notebook1.6k312

• lrybbs/Hyperspectral-classification-deeplearning

  使用深度学习方法实现小样本条件下的高光谱图像分类

  Language:Python6913

• fanq15/FewX

  FewX is an open-source toolbox on top of Detectron2 for data-limited instance-level recognition tasks.

  Language:Python34848

• WongKinYiu/ScaledYOLOv4

  Scaled-YOLOv4: Scaling Cross Stage Partial Network

  Language:Python2k574

• WongKinYiu/PyTorch_YOLOv4

  PyTorch implementation of YOLOv4

  Language:Python1.9k586

• bingykang/Fewshot_Detection

  Few-shot Object Detection via Feature Reweighting

  Language:Python532112

• zihangJiang/TokenLabeling

  Pytorch implementation of "All Tokens Matter: Token Labeling for Training Better Vision Transformers"

  Language:Jupyter Notebook42536

• ultralytics/yolov5

  YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

  Language:Python50.9k16.4k

• facebookresearch/detr

  End-to-End Object Detection with Transformers

  Language:Python13.6k2.5k

• 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:Python32.3k4.8k

• jeonsworld/ViT-pytorch

  Pytorch reimplementation of the Vision Transformer (An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale)

  Language:Jupyter Notebook1.9k371

• lucidrains/vit-pytorch

  Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

  Language:Python20.6k3.1k

• facebookresearch/fairseq

  Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

  Language:Python30.5k6.4k

• microsoft/Swin-Transformer

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

  Language:Python13.9k2.1k

• mravanelli/pytorch-kaldi

  pytorch-kaldi is a project for developing state-of-the-art DNN/RNN hybrid speech recognition systems. The DNN part is managed by pytorch, while feature extraction, label computation, and decoding are performed with the kaldi toolkit.

  Language:Python2.4k446

• kingfengji/gcForest

  This is the official implementation for the paper 'Deep forest: Towards an alternative to deep neural networks'

  Language:Python1.3k425

• devsisters/DQN-tensorflow

  Tensorflow implementation of Human-Level Control through Deep Reinforcement Learning

  Language:Python2.5k763

• marc-chen/hadoop-spark-installer

  hadoop related tools

  Language:Shell6357