SOTAVerified

Semantic Segmentation

Papers

Showing 39263950 of 14763 papers

TitleStatusHype
SegVol: Universal and Interactive Volumetric Medical Image SegmentationCode2
FuseNet: Self-Supervised Dual-Path Network for Medical Image SegmentationCode1
AI for Agriculture: the Comparison of Semantic Segmentation Methods for Crop Mapping with Sentinel-2 Imagery0
Q-Seg: Quantum Annealing-Based Unsupervised Image SegmentationCode1
HoVer-UNet: Accelerating HoVerNet with UNet-based multi-class nuclei segmentation via knowledge distillationCode1
Leveraging Unlabeled Data for 3D Medical Image Segmentation through Self-Supervised Contrastive LearningCode0
Mobile-Seed: Joint Semantic Segmentation and Boundary Detection for Mobile RobotsCode1
Enhancing Visual Grounding and Generalization: A Multi-Task Cycle Training Approach for Vision-Language ModelsCode0
GMISeg: General Medical Image Segmentation without Re-Training0
Instance-aware 3D Semantic Segmentation powered by Shape Generators and Classifiers0
Semi-supervised Medical Image Segmentation via Query Distribution ConsistencyCode0
LABELMAKER: Automatic Semantic Label Generation from RGB-D TrajectoriesCode1
Disentangling Structure and Appearance in ViT Feature Space0
Model-aware 3D Eye Gaze from Weak and Few-shot SupervisionsCode1
SA-Med2D-20M Dataset: Segment Anything in 2D Medical Imaging with 20 Million masksCode3
Few-shot Multispectral Segmentation with Representations Generated by Reinforcement LearningCode0
Generalized Category Discovery in Semantic SegmentationCode1
Kandinsky Conformal Prediction: Efficient Calibration of Image Segmentation AlgorithmsCode1
Segment Together: A Versatile Paradigm for Semi-Supervised Medical Image Segmentation0
Predicting urban tree cover from incomplete point labels and limited background information0
GP-NeRF: Generalized Perception NeRF for Context-Aware 3D Scene Understanding0
SOccDPT: Semi-Supervised 3D Semantic Occupancy from Dense Prediction Transformers trained under memory constraints0
Self-Supervised Versus Supervised Training for Segmentation of Organoid Images0
GeoSAM: Fine-tuning SAM with Multi-Modal Prompts for Mobility Infrastructure SegmentationCode1
Open-Vocabulary Camouflaged Object SegmentationCode2
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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