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Semantic Segmentation

Papers

Showing 901925 of 14763 papers

TitleStatusHype
BoxVIS: Video Instance Segmentation with Box AnnotationsCode1
BPKD: Boundary Privileged Knowledge Distillation For Semantic SegmentationCode1
Boosting Semi-Supervised Semantic Segmentation with Probabilistic RepresentationsCode1
A Curriculum Domain Adaptation Approach to the Semantic Segmentation of Urban ScenesCode1
Boosting Video Object Segmentation via Space-time Correspondence LearningCode1
Deep Anatomical Federated Network (Dafne): An open client-server framework for the continuous, collaborative improvement of deep learning-based medical image segmentationCode1
Active learning for medical image segmentation with stochastic batchesCode1
Bridging the Domain Gap: Self-Supervised 3D Scene Understanding with Foundation ModelsCode1
Bridge the Points: Graph-based Few-shot Segment Anything SemanticallyCode1
AMOS: A Large-Scale Abdominal Multi-Organ Benchmark for Versatile Medical Image SegmentationCode1
Boundary-assisted Region Proposal Networks for Nucleus SegmentationCode1
Active Learning for Improved Semi-Supervised Semantic Segmentation in Satellite ImagesCode1
Boosting Semantic Human Matting with Coarse AnnotationsCode1
BSNet: Box-Supervised Simulation-assisted Mean Teacher for 3D Instance SegmentationCode1
DatasetGAN: Efficient Labeled Data Factory with Minimal Human EffortCode1
BT-Unet: A self-supervised learning framework for biomedical image segmentation using Barlow Twins with U-Net modelsCode1
DB-SAM: Delving into High Quality Universal Medical Image SegmentationCode1
Deep Image Semantic Communication Model for Artificial Intelligent Internet of ThingsCode1
A Multi-Level Approach to Waste Object SegmentationCode1
UVO Challenge on Video-based Open-World Segmentation 2021: 1st Place SolutionCode1
BuildingNet: Learning to Label 3D BuildingsCode1
DC-UNet: Rethinking the U-Net Architecture with Dual Channel Efficient CNN for Medical Images SegmentationCode1
DecoupleNet: Decoupled Network for Domain Adaptive Semantic SegmentationCode1
MMOTU: A Multi-Modality Ovarian Tumor Ultrasound Image Dataset for Unsupervised Cross-Domain Semantic SegmentationCode1
BoMuDANet: Unsupervised Adaptation for Visual Scene Understanding in Unstructured Driving EnvironmentsCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1InternImage-H (M3I Pre-training)Params (M)1,310Unverified
2ViT-P (InternImage-H)Validation mIoU63.6Unverified
3ONE-PEACEValidation mIoU63Unverified
4InternImage-HValidation mIoU62.9Unverified
5M3I Pre-training (InternImage-H)Validation mIoU62.9Unverified
6BEiT-3Validation mIoU62.8Unverified
7EVAValidation mIoU62.3Unverified
8ViT-P (OneFormer, InternImage-H)Validation mIoU61.6Unverified
9ViT-Adapter-L (Mask2Former, BEiTv2 pretrain)Validation mIoU61.5Unverified
10FD-SwinV2-GValidation mIoU61.4Unverified