SOTAVerified

Segmentation

Papers

Showing 20012050 of 13072 papers

TitleStatusHype
A Closer Look at the Explainability of Contrastive Language-Image Pre-trainingCode1
BN-DRISHTI: Bangla Document Recognition through Instance-level Segmentation of Handwritten Text ImagesCode1
AdaptiveSAM: Towards Efficient Tuning of SAM for Surgical Scene SegmentationCode1
CLIP-TNseg: A Multi-Modal Hybrid Framework for Thyroid Nodule Segmentation in Ultrasound ImagesCode1
An Empirical Study of Tokenization Strategies for Various Korean NLP TasksCode1
PointNu-Net: Keypoint-assisted Convolutional Neural Network for Simultaneous Multi-tissue Histology Nuclei Segmentation and ClassificationCode1
Deep Learning for Musical Form: Recognition and AnalysisCode1
PointScatter: Point Set Representation for Tubular Structure ExtractionCode1
Point-supervised Single-cell Segmentation via Collaborative Knowledge SharingCode1
BoNuS: Boundary Mining for Nuclei Segmentation with Partial Point LabelsCode1
Point-Unet: A Context-aware Point-based Neural Network for Volumetric SegmentationCode1
Polarized Self-Attention: Towards High-quality Pixel-wise RegressionCode1
PolarMask: Single Shot Instance Segmentation with Polar RepresentationCode1
PolarNet: An Improved Grid Representation for Online LiDAR Point Clouds Semantic SegmentationCode1
Deep-learning in the bioimaging wild: Handling ambiguous data with deepflash2Code1
PolyphonicFormer: Unified Query Learning for Depth-aware Video Panoptic SegmentationCode1
Polyp-SAM++: Can A Text Guided SAM Perform Better for Polyp Segmentation?Code1
Boosting Few-shot 3D Point Cloud Segmentation via Query-Guided EnhancementCode1
PolyWorld: Polygonal Building Extraction with Graph Neural Networks in Satellite ImagesCode1
Positional Contrastive Learning for Volumetric Medical Image SegmentationCode1
Position-prior Clustering-based Self-attention Module for Knee Cartilage SegmentationCode1
BPNet: Bézier Primitive Segmentation on 3D Point CloudsCode1
BUSIS: A Benchmark for Breast Ultrasound Image SegmentationCode1
DeepMAO: Deep Multi-scale Aware Overcomplete Network for Building Segmentation in Satellite ImageryCode1
An End-to-end Framework For Low-Resolution Remote Sensing Semantic SegmentationCode1
Preoperative brain tumor imaging: models and software for segmentation and standardized reportingCode1
Adaptive Superpixel for Active Learning in Semantic SegmentationCode1
Clockwork Convnets for Video Semantic SegmentationCode1
Pri3D: Can 3D Priors Help 2D Representation Learning?Code1
Boosting Semi-supervised Image Segmentation with Global and Local Mutual Information RegularizationCode1
Boosting Unsupervised Semantic Segmentation with Principal Mask ProposalsCode1
Boosting Video Object Segmentation via Space-time Correspondence LearningCode1
Boost the Inference with Co-training: A Depth-guided Mutual Learning Framework for Semi-supervised Medical Polyp SegmentationCode1
Bootstrapping Objectness from Videos by Relaxed Common Fate and Visual GroupingCode1
Bootstrapping Semantic Segmentation with Regional ContrastCode1
Bootstrapping Semi-supervised Medical Image Segmentation with Anatomical-aware Contrastive DistillationCode1
Probabilistic 3D segmentation for aleatoric uncertainty quantification in full 3D medical dataCode1
Probabilistic Attention for Interactive SegmentationCode1
Progressive Multi-scale Consistent Network for Multi-class Fundus Lesion SegmentationCode1
Progressive Proxy Anchor Propagation for Unsupervised Semantic SegmentationCode1
Deep Sensor Fusion with Pyramid Fusion Networks for 3D Semantic SegmentationCode1
`Project & Excite' Modules for Segmentation of Volumetric Medical ScansCode1
Deep Interactive Learning-based ovarian cancer segmentation of H&E-stained whole slide images to study morphological patterns of BRCA mutationCode1
Prompting Segment Anything Model with Domain-Adaptive Prototype for Generalizable Medical Image SegmentationCode1
Prompt Tuning for Parameter-efficient Medical Image SegmentationCode1
One-Prompt to Segment All Medical ImagesCode1
Deep Instruction Tuning for Segment Anything ModelCode1
Deep Learning Based Brain Tumor Segmentation: A SurveyCode1
Deep Gradient Learning for Efficient Camouflaged Object DetectionCode1
Scaling Out-of-Distribution Detection for Real-World SettingsCode1
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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