ROSENty's Stars
dukebw/SSTVOS
Training code for "SSTVOS: Sparse Spatiotemporal Transformers for Video Object Segmentation"
yoxu515/aot-benchmark
An efficient modular implementation of Associating Objects with Transformers for Video Object Segmentation in PyTorch
Epiphqny/VisTR
[CVPR2021 Oral] End-to-End Video Instance Segmentation with Transformers
yuk6heo/IVOS-ATNet
Pytorch implementation of ECCV2020 paper, "Interactive Video Object Segmentation Using Global and Local Transfer Modules"
shiyinzhang/Inside-Outside-Guidance
Interactive Object Segmentation with Inside-Outside Guidance
lyxok1/STM-Training
training script for space time memory network
hkchengrex/STCN
[NeurIPS 2021] Rethinking Space-Time Networks with Improved Memory Coverage for Efficient Video Object Segmentation
hkchengrex/XMem
[ECCV 2022] XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory Model
kmaninis/Scribble-OSVOS
Scribble-supervised version of OSVOS, a baseline for DAVIS Interactive Challenge
hkchengrex/MiVOS
[CVPR 2021] Modular Interactive Video Object Segmentation: Interaction-to-Mask, Propagation and Difference-Aware Fusion. Semi-supervised VOS as well!
seoungwugoh/ivs-demo
Demo for "Fast User-Guided Video Object Segmentation by Interaction-and-Propagation Networks", CVPR 2019.
albertomontesg/davis-interactive
Package to evaluate interactive segmentation with scribbles at DAVIS dataset.
seoungwugoh/STM
Video Object Segmentation using Space-Time Memory Networks
uncbiag/Awesome-Foundation-Models
A curated list of foundation models for vision and language tasks
jchen42703/kits19-2d-reproduce
Reproducing: Kidney tumor segmentation using an ensembling multi-stage deep learning approach. A contribution to the KiTS19 challenge [WORK-IN-PROGRESS]
taehoon-yoon/KiTS19-Challenge-using-U-net
Image segmentation task with KiTS19 challenge data using U-net
ljwztc/CLIP-Driven-Universal-Model
[ICCV 2023] CLIP-Driven Universal Model; Rank first in MSD Competition.
yeerwen/UniSeg
MICCAI 2023 Paper (Early Acceptance)
amusi/daily-paper-computer-vision
记录每天整理的计算机视觉/深度学习/机器学习相关方向的论文
conradry/max-deeplab
Unofficial implementation of MaX-DeepLab for Instance Segmentation
SuperManito/LinuxMirrors
GNU/Linux 更换系统软件源脚本
neheller/kits19
The official repository of the 2019 Kidney and Kidney Tumor Segmentation Challenge
jadore801120/attention-is-all-you-need-pytorch
A PyTorch implementation of the Transformer model in "Attention is All You Need".
brandokoch/attention-is-all-you-need-paper
Original transformer paper: Implementation of Vaswani, Ashish, et al. "Attention is all you need." Advances in neural information processing systems. 2017.
facebookresearch/detr
End-to-End Object Detection with Transformers
Tencent/MedicalNet
Many studies have shown that the performance on deep learning is significantly affected by volume of training data. The MedicalNet project provides a series of 3D-ResNet pre-trained models and relative code.
jianpengz/DoDNet
[CVPR2021] DoDNet: Learning to segment multi-organ and tumors from multiple partially labeled datasets
MIC-DKFZ/nnUNet
rawmarshmellows/pytorch-unet-resnet-50-encoder
BCV-Uniandes/SIMBA
Pytorch implementation of the MICCAI 2020 paper SIMBA: Specific Identity Markers for Bone Age Assessment