zhangjue1993's Stars
developfeng/BCM
Code of PyTorch implementation of 'Weakly Supervised Semantic Segmentation via Box-driven Masking and Filling Rate Shifting'
ChunmingHe/WS-SAM
xulianuwa/MCTformer
Code for CVPR 2022 paper "Multi-Class Token Transformer for Weakly Supervised Semantic Segmentation"
facebookresearch/faiss
A library for efficient similarity search and clustering of dense vectors.
JuliaWolleb/Diffusion-based-Segmentation
This is the official Pytorch implementation of the paper "Diffusion Models for Implicit Image Segmentation Ensembles".
facebookresearch/dino
PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO
facebookresearch/dinov2
PyTorch code and models for the DINOv2 self-supervised learning method.
google-research/vision_transformer
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
lucidrains/vit-pytorch
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
hyunwoongko/transformer
Transformer: PyTorch Implementation of "Attention Is All You Need"
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
EdgarMoyete/Deep-Learning-BCI-IV-2a
Clasificacion de imagenes motoras en señales EEG con CNN, LSTM y otros clasificadores
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.
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.
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
fossasia/visdom
A flexible tool for creating, organizing, and sharing visualizations of live, rich data. Supports Torch and Numpy.
dddraxxx/Weakly-Supervised-Camouflaged-Object-Detection-with-Scribble-Annotations
Code for the AAAI 2023 paper "Weakly-Supervised Camouflaged Object Detection with Scribble Annotations"
shuyonggao/PSOD
Point Saliency
aleju/imgaug
Image augmentation for machine learning experiments.
xiaojianzhong/awesome-weakly-supervised-semantic-segmentation
A comprehensive list of weakly supervised semantic segmentation (WSSS) works from 2014 to 2022.
jorge-menjivar/CV-PyTorch
CV-PyTorch is a collection of tools to help facilitate computer vision operations.
chenqi1126/SIPE
[CVPR 2022] Self-supervised Image-specific Prototype Exploration for Weakly Supervised Semantic Segmentation
heykeetae/Self-Attention-GAN
Pytorch implementation of Self-Attention Generative Adversarial Networks (SAGAN)
zhoubolei/CAM
Class Activation Mapping
ZHongshuang/mws
suyukun666/CDA
Official PyTorch implementation of the “Context Decoupling Augmentation for Weakly Supervised Semantic Segmentation” (ICCV 2021)
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.
pytorch/examples
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
siyueyu/SCWSSOD