zhangjue1993

zhangjue1993's Stars

• developfeng/BCM

  Code of PyTorch implementation of 'Weakly Supervised Semantic Segmentation via Box-driven Masking and Filling Rate Shifting'

  Language:Python101

• ChunmingHe/WS-SAM

  Language:Python401

• xulianuwa/MCTformer

  Code for CVPR 2022 paper "Multi-Class Token Transformer for Weakly Supervised Semantic Segmentation"

  Language:Python14815

• facebookresearch/faiss

  A library for efficient similarity search and clustering of dense vectors.

  Language:C++30.2k3.5k

• JuliaWolleb/Diffusion-based-Segmentation

  This is the official Pytorch implementation of the paper "Diffusion Models for Implicit Image Segmentation Ensembles".

  Language:Python27536

• facebookresearch/dino

  PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO

  Language:Python6.2k900

• facebookresearch/dinov2

  PyTorch code and models for the DINOv2 self-supervised learning method.

  Language:Jupyter Notebook8.7k743

• google-research/vision_transformer

  Language:Jupyter Notebook10k1.3k

• 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:Python31.3k4.7k

• 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:Python19.4k2.9k

• hyunwoongko/transformer

  Transformer: PyTorch Implementation of "Attention Is All You Need"

  Language:Python2.7k408

• EdgarMoyete/EEG-Classification-with-CNN

  Clasificación de señales de EEG de imaginación motora y calculo mental con redes neuronales convolucionales y redes neuronales recurrentes usando representaciones basadas en STFT y CWT

  Language:Jupyter Notebook4410

• EdgarMoyete/Deep-Learning-BCI-IV-2a

  Clasificacion de imagenes motoras en señales EEG con CNN, LSTM y otros clasificadores

  Language:Jupyter Notebook461

• Ahmed-Habashy/Dataset-BCI-competition-iv-2b

  This is a python code for extracting EEG signals from dataset 2b from competition iv, then it converts the data to spectrogram images to classify them using a CNN classifier.

  Language:Python151

• eeyhsong/EEG-Transformer

  i. A practical application of Transformer (ViT) on 2-D physiological signal (EEG) classification tasks. Also could be tried with EMG, EOG, ECG, etc. ii. Including the attention of spatial dimension (channel attention) and *temporal dimension*. iii. Common spatial pattern (CSP), an efficient feature enhancement method, realized with Python.

  Language:Python24326

• vlawhern/arl-eegmodels

  This is the Army Research Laboratory (ARL) EEGModels Project: A Collection of Convolutional Neural Network (CNN) models for EEG signal classification, using Keras and Tensorflow

  Language:Python1.1k282

• fossasia/visdom

  A flexible tool for creating, organizing, and sharing visualizations of live, rich data. Supports Torch and Numpy.

  Language:Python10k1.1k

• dddraxxx/Weakly-Supervised-Camouflaged-Object-Detection-with-Scribble-Annotations

  Code for the AAAI 2023 paper "Weakly-Supervised Camouflaged Object Detection with Scribble Annotations"

  Language:Python477

• shuyonggao/PSOD

  Point Saliency

  Language:Python309

• aleju/imgaug

  Image augmentation for machine learning experiments.

  Language:Python14.3k2.4k

• xiaojianzhong/awesome-weakly-supervised-semantic-segmentation

  A comprehensive list of weakly supervised semantic segmentation (WSSS) works from 2014 to 2022.

  15615

• jorge-menjivar/CV-PyTorch

  CV-PyTorch is a collection of tools to help facilitate computer vision operations.

  Language:Python7

• chenqi1126/SIPE

  [CVPR 2022] Self-supervised Image-specific Prototype Exploration for Weakly Supervised Semantic Segmentation

  Language:Python7410

• heykeetae/Self-Attention-GAN

  Pytorch implementation of Self-Attention Generative Adversarial Networks (SAGAN)

  Language:Python2.5k469

• zhoubolei/CAM

  Class Activation Mapping

  Language:MATLAB1.8k466

• ZHongshuang/mws

  Language:Python2

• suyukun666/CDA

  Official PyTorch implementation of the “Context Decoupling Augmentation for Weakly Supervised Semantic Segmentation” (ICCV 2021)

  Language:Python5813

• 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 Notebook46.4k5.5k

• pytorch/examples

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

  Language:Python22.2k9.5k

• siyueyu/SCWSSOD

  Language:Python477