Sizheng Guo's repositories
adversarial-attacks-pytorch
PyTorch implementation of adversarial attacks.
DeepIGeoS
Pytorch Implementation of DeepIGeoS
focuscut
The official PyTorch implementation of oral paper "FocusCut: Diving into a Focus View in Interactive Segmentation" in CVPR 2022.
Grounded-Segment-Anything
Marrying Grounding DINO with Segment Anything & Stable Diffusion & BLIP & Whisper - Automatically Detect , Segment and Generate Anything with Image, Text, and Speech Inputs
iSegFormer
iSegFormer: Interactive Video/Volume Segmentation using Vision Transformers
Machine-Learning-Collection
A resource for learning about ML, DL, PyTorch and TensorFlow. Feedback always appreciated :)
Medical-SAM-Adapter
Adapting Segment Anything Model for Medical Image Segmentation
mmsegmentation
OpenMMLab Semantic Segmentation Toolbox and Benchmark.
Painter
[CVPR 2023] A Generalist Painter for In-Context Visual Learning (https://arxiv.org/abs/2212.02499)
Pentest_Note
渗透测试常规操作记录
Python
All Algorithms implemented in Python
pytorch-image-models
PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more
Pytorch-Medical-Segmentation
This repository is an unoffical PyTorch implementation of Medical segmentation in 2D and 3D.
ritm_interactive_segmentation
Reviving Iterative Training with Mask Guidance for Interactive Segmentation
robust-segmentation
Robust Semantic Segmentation
sam-mmrotate
SAM (Segment Anything Model) for generating rotated bounding boxes with MMRotate, which is a comparison method of H2RBox-v2.
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.
SegPGD
unofficial implement of paper "SegPGD: An Effective and Efficient Adversarial Attack for Evaluating and Boosting Segmentation Robustness"
SimpleClick
SimpleClick: Interactive Image Segmentation with Simple Vision Transformers
SSAH-adversarial-attack
Code for the paper "Frequency-driven Imperceptible Adversarial Attack on Semantic Similarity"
ST-AT
Code for ICLR 2023 paper Squeeze Training for Adversarial Robustness.
tools-VOC
对VOC数据集进行数据增强
UNet_Segmentation
PyTorch implementation of the U-Net for image semantic segmentation with high quality images
visual_prompting
Official implementation and data release of the paper "Visual Prompting via Image Inpainting".
VT-UNet
[MICCAI2022] This is an official PyTorch implementation for A Robust Volumetric Transformer for Accurate 3D Tumor Segmentation