SOTAVerified

Segmentation

Papers

Showing 326350 of 13072 papers

TitleStatusHype
Aligning and Prompting Everything All at Once for Universal Visual PerceptionCode2
Universal Segmentation at Arbitrary Granularity with Language InstructionCode2
3D Face Reconstruction with the Geometric Guidance of Facial Part SegmentationCode2
SAM-6D: Segment Anything Model Meets Zero-Shot 6D Object Pose EstimationCode2
Adapter is All You Need for Tuning Visual TasksCode2
OneFormer3D: One Transformer for Unified Point Cloud SegmentationCode2
SegVol: Universal and Interactive Volumetric Medical Image SegmentationCode2
Open-Vocabulary Camouflaged Object SegmentationCode2
GLaMM: Pixel Grounding Large Multimodal ModelCode2
Medical Image Segmentation with Domain Adaptation: A SurveyCode2
SAM-Med3D: Towards General-purpose Segmentation Models for Volumetric Medical ImagesCode2
Is Weakly-supervised Action Segmentation Ready For Human-Robot Interaction? No, Let's Improve It With Action-union LearningCode2
CLIPSelf: Vision Transformer Distills Itself for Open-Vocabulary Dense PredictionCode2
You Only Look at Once for Real-time and Generic Multi-TaskCode2
nnSAM: Plug-and-play Segment Anything Model Improves nnUNet PerformanceCode2
PLVS: A SLAM System with Points, Lines, Volumetric Mapping, and 3D Incremental SegmentationCode2
DFormer: Rethinking RGBD Representation Learning for Semantic SegmentationCode2
Beyond Adapting SAM: Towards End-to-End Ultrasound Image Segmentation via Auto PromptingCode2
UniSeg: A Unified Multi-Modal LiDAR Segmentation Network and the OpenPCSeg CodebaseCode2
A-Eval: A Benchmark for Cross-Dataset Evaluation of Abdominal Multi-Organ SegmentationCode2
RevColV2: Exploring Disentangled Representations in Masked Image ModelingCode2
FastSurfer-HypVINN: Automated sub-segmentation of the hypothalamus and adjacent structures on high-resolutional brain MRICode2
Diffuse, Attend, and Segment: Unsupervised Zero-Shot Segmentation using Stable DiffusionCode2
SRFormer: Text Detection Transformer with Incorporated Segmentation and RegressionCode2
MeViS: A Large-scale Benchmark for Video Segmentation with Motion ExpressionsCode2
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1unSAM+ (Semi-supervised)Average Precision42.8Unverified
2SAMAverage Precision38.9Unverified
#ModelMetricClaimedVerifiedStatus
1HNN10%20Unverified
#ModelMetricClaimedVerifiedStatus
1ABANetF1 Score96.82Unverified
#ModelMetricClaimedVerifiedStatus
1ResNet50 + DeepLabV3+F1 score0.77Unverified
#ModelMetricClaimedVerifiedStatus
1LangGasIoU0.69Unverified