SOTAVerified

Segmentation

Papers

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Showing 51–75 of 13072 papers

TitleStatusHype
Weighted Mean Frequencies: a handcraft Fourier feature for 4D Flow MRI segmentation—0
Open-Vocabulary Camouflaged Object Segmentation with Cascaded Vision Language ModelsCode1
Systematic Review of Pituitary Gland and Pituitary Adenoma Automatic Segmentation Techniques in Magnetic Resonance Imaging—0
ReCoGNet: Recurrent Context-Guided Network for 3D MRI Prostate Segmentation—0
PicoSAM2: Low-Latency Segmentation In-Sensor for Edge Vision Applications—0
SafeClick: Error-Tolerant Interactive Segmentation of Any Medical Volumes via Hierarchical Expert ConsensusCode0
Pre-Trained LLM is a Semantic-Aware and Generalizable Segmentation BoosterCode2
TextBraTS: Text-Guided Volumetric Brain Tumor Segmentation with Innovative Dataset Development and Fusion Module ExplorationCode1
CF-Seg: Counterfactuals meet Segmentation—0
Spatio-spectral diarization of meetings by combining TDOA-based segmentation and speaker embedding-based clusteringCode0
Spatially-Aware Evaluation of Segmentation Uncertainty—0
Baltimore Atlas: FreqWeaver Adapter for Semi-supervised Ultra-high Spatial Resolution Land Cover Classification—0
Automated MRI Tumor Segmentation using hybrid U-Net with Transformer and Efficient Attention—0
CLAIM: Clinically-Guided LGE Augmentation for Realistic and Diverse Myocardial Scar Synthesis and SegmentationCode0
Towards Reliable WMH Segmentation under Domain Shift: An Application Study using Maximum Entropy Regularization to Improve Uncertainty Estimation—0
Integrating Radiomics with Deep Learning Enhances Multiple Sclerosis Lesion Delineation—0
VisText-Mosquito: A Multimodal Dataset and Benchmark for AI-Based Mosquito Breeding Site Detection and ReasoningCode0
BRISC: Annotated Dataset for Brain Tumor Segmentation and Classification with Swin-HAFNet—0
Latent Anomaly Detection: Masked VQ-GAN for Unsupervised Segmentation in Medical CBCT—0
DepthSeg: Depth prompting in remote sensing semantic segmentation—0
A Comprehensive Survey on Video Scene Parsing:Advances, Challenges, and Prospects—0
Simple is what you need for efficient and accurate medical image segmentationCode0
MorphSAM: Learning the Morphological Prompts from Atlases for Spine Image Segmentation—0
Open-Set LiDAR Panoptic Segmentation Guided by Uncertainty-Aware Learning—0
Combining Self-attention and Dilation Convolutional for Semantic Segmentation of Coal Maceral Groups—0
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All datasetsSA-1B.MFSDMMFloodSimGas

Benchmark Results

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