JonasZero's Stars
ISCSS-FangTeam/ACGC
code for paper:Improved Pseudomasks Generation for Weakly Supervised Building Extraction From High-Resolution Remote Sensing Imagery
zhaozhengChen/ReCAM
The official code of CVPR 2022 paper (Class Re-Activation Maps for Weakly-Supervised Semantic Segmentation).
JosieHong/Multi-dilated_CAM
A personal implement of CAM(class activation mapping) part of CVPR 2018 Revisiting Dilated Convolution: A Simple Approach for Weakly- and Semi- Supervised Sematic Segmentation.
js-fan/ICD
Learning Integral Objects with Intra-Class Discriminator for Weakly-Supervised Semantic Segmentation
bermanmaxim/superpixPool
Superpixel Pooling implemented in PyTorch and Chainer
speedinghzl/DSRG
Weakly-Supervised Semantic Segmentation Network with Deep Seeded Region Growing (CVPR 2018).
TKKim93/sec.pytorch
PyTorch implementation of "Seed, Expand and Constrain: Three Principles for Weakly-Supervised Image Segmentation."
durandtibo/wildcat.pytorch
PyTorch implementation of "WILDCAT: Weakly Supervised Learning of Deep ConvNets for Image Classification, Pointwise Localization and Segmentation", CVPR 2017
perrying/diffSLIC
differentiable SLIC PyTorch
Borda/pyImSegm
Image segmentation - general superpixel segmentation & center detection & region growing
jayrambhia/superpixels-SLIC
Superpixel segmentation using SLIC with Python.
jiwoon-ahn/psa
Learning Pixel-level Semantic Affinity with Image-level Supervision for Weakly Supervised Semantic Segmentation, CVPR 2018
YudeWang/SEAM
Self-supervised Equivariant Attention Mechanism for Weakly Supervised Semantic Segmentation, CVPR 2020 (Oral)
twke18/SPML
Universal Weakly Supervised Segmentation by Pixel-to-Segment Contrastive Learning
jiwoon-ahn/irn
Weakly Supervised Learning of Instance Segmentation with Inter-pixel Relations, CVPR 2019 (Oral)
WangLibo1995/BuildFormer
Building Extraction from remote sensing image using Vision Transformer, IEEE Transactions on Geoscience and Remote Sensing, 2022
Henryjiepanli/Uncertainty-aware-Network
UANet: an Uncertainty-Aware Network for Building Extraction from Remote Sensing Images
sstary/SSRS
px39n/Awesome-Data-Fusion-for-Remote-Sensing
SpaceNetChallenge/SAR-RGB-DataFusion
A small codebase featuring a few elementary methods for SAR and Optical imagery data fusion
xmindflow/DAEFormer
[MICCAI 2023] DAE-Former: Dual Attention-guided Efficient Transformer for Medical Image Segmentation
facebookresearch/MaskFormer
Per-Pixel Classification is Not All You Need for Semantic Segmentation (NeurIPS 2021, spotlight)
lxtGH/Awesome-Segmentation-With-Transformer
[Arxiv-04-2023] Transformer-Based Visual Segmentation: A Survey
rstrudel/segmenter
[ICCV2021] Official PyTorch implementation of Segmenter: Transformer for Semantic Segmentation
hustvl/TopFormer
TopFormer: Token Pyramid Transformer for Mobile Semantic Segmentation, CVPR2022
fudan-zvg/SeaFormer
[ICLR 2023] SeaFormer: Squeeze-enhanced Axial Transformer for Mobile Semantic Segmentation
xiaoyufenfei/Efficient-Segmentation-Networks
Lightweight models for real-time semantic segmentationon PyTorch (include SQNet, LinkNet, SegNet, UNet, ENet, ERFNet, EDANet, ESPNet, ESPNetv2, LEDNet, ESNet, FSSNet, CGNet, DABNet, Fast-SCNN, ContextNet, FPENet, etc.)
FanChiMao/SUNet
SUNet: Swin Transformer with UNet for Image Denoising
HuCaoFighting/Swin-Unet
[ECCVW 2022] The codes for the work "Swin-Unet: Unet-like Pure Transformer for Medical Image Segmentation"
qubvel/segmentation_models.pytorch
Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.