SOTAVerified

Segmentation

Papers

Showing 376400 of 13072 papers

TitleStatusHype
A Unified Framework for 3D Scene UnderstandingCode2
A-Eval: A Benchmark for Cross-Dataset Evaluation of Abdominal Multi-Organ SegmentationCode2
DeepEdit: Deep Editable Learning for Interactive Segmentation of 3D Medical ImagesCode2
DeepGCNs: Making GCNs Go as Deep as CNNsCode2
Deep Spectral Methods: A Surprisingly Strong Baseline for Unsupervised Semantic Segmentation and LocalizationCode2
Aerial Lifting: Neural Urban Semantic and Building Instance Lifting from Aerial ImageryCode2
On Deep Learning for Geometric and Semantic Scene Understanding Using On-Vehicle 3D LiDARCode2
DatasetDM: Synthesizing Data with Perception Annotations Using Diffusion ModelsCode2
DDP: Diffusion Model for Dense Visual PredictionCode2
CSAD: Unsupervised Component Segmentation for Logical Anomaly DetectionCode2
Overlap-aware low-latency online speaker diarization based on end-to-end local segmentationCode2
Panoptic Lifting for 3D Scene Understanding with Neural FieldsCode2
PartSTAD: 2D-to-3D Part Segmentation Task AdaptationCode2
Patchwork++: Fast and Robust Ground Segmentation Solving Partial Under-Segmentation Using 3D Point CloudCode2
Pay Attention to Your Neighbours: Training-Free Open-Vocabulary Semantic SegmentationCode2
Cross-Modal Interactive Perception Network with Mamba for Lung Tumor Segmentation in PET-CT ImagesCode2
Customized Segment Anything Model for Medical Image SegmentationCode2
Deep Covariance Alignment for Domain Adaptive Remote Sensing Image SegmentationCode2
Pixel-Wise Recognition for Holistic Surgical Scene UnderstandingCode2
PMFSNet: Polarized Multi-scale Feature Self-attention Network For Lightweight Medical Image SegmentationCode2
Delineate Anything: Resolution-Agnostic Field Boundary Delineation on Satellite ImageryCode2
PosSAM: Panoptic Open-vocabulary Segment AnythingCode2
Pre-Trained LLM is a Semantic-Aware and Generalizable Segmentation BoosterCode2
Diversified and Personalized Multi-rater Medical Image SegmentationCode2
Context Encoding for Semantic SegmentationCode2
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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