SOTAVerified

Segmentation

Papers

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Showing 1851–1900 of 13072 papers

TitleStatusHype
PanopticRecon: Leverage Open-vocabulary Instance Segmentation for Zero-shot Panoptic Reconstruction—0
Efficient Cutting Tool Wear Segmentation Based on Segment Anything Model—0
xLSTM-UNet can be an Effective 2D & 3D Medical Image Segmentation Backbone with Vision-LSTM (ViL) better than its Mamba CounterpartCode3
Domain Influence in MRI Medical Image Segmentation: spatial versus k-space inputsCode0
CSFNet: A Cosine Similarity Fusion Network for Real-Time RGB-X Semantic Segmentation of Driving ScenesCode1
ASPS: Augmented Segment Anything Model for Polyp SegmentationCode1
HATs: Hierarchical Adaptive Taxonomy Segmentation for Panoramic Pathology Image AnalysisCode0
pFLFE: Cross-silo Personalized Federated Learning via Feature Enhancement on Medical Image Segmentation—0
UADSN: Uncertainty-Aware Dual-Stream Network for Facial Nerve Segmentation—0
EVF-SAM: Early Vision-Language Fusion for Text-Prompted Segment Anything ModelCode3
PPTFormer: Pseudo Multi-Perspective Transformer for UAV Segmentation—0
Scalable and Domain-General Abstractive Proposition Segmentation—0
PM-VIS+: High-Performance Video Instance Segmentation without Video AnnotationCode0
Comprehensive Generative Replay for Task-Incremental Segmentation with Concurrent Appearance and Semantic ForgettingCode0
Precision matters: Precision-aware ensemble for weakly supervised semantic segmentationCode0
Segment Anything without SupervisionCode3
TocBERT: Medical Document Structure Extraction Using Bidirectional Transformers—0
High-resolution segmentations of the hypothalamus and its subregions for training of segmentation modelsCode0
SimTxtSeg: Weakly-Supervised Medical Image Segmentation with Simple Text CuesCode1
OMG-LLaVA: Bridging Image-level, Object-level, Pixel-level Reasoning and UnderstandingCode5
Dense Monocular Motion Segmentation Using Optical Flow and Pseudo Depth Map: A Zero-Shot Approach—0
A Universal Railway Obstacle Detection System based on Semi-supervised Segmentation And Optical Flow—0
Segment Anything Model for automated image data annotation: empirical studies using text prompts from Grounding DINO—0
Mamba or RWKV: Exploring High-Quality and High-Efficiency Segment Anything ModelCode5
LiverUSRecon: Automatic 3D Reconstruction and Volumetry of the Liver with a Few Partial Ultrasound Scans—0
Improving EO Foundation Models with Confidence Assessment for enhanced Semantic segmentationCode0
Multi-modal Evidential Fusion Network for Trustworthy PET/CT Tumor SegmentationCode0
EFCNet: Every Feature Counts for Small Medical Object Segmentation—0
Addressing intra-area oscillations and frequency stability after DC segmentation of a large AC power system—0
Stable Diffusion Segmentation for Biomedical Images with Single-step Reverse ProcessCode2
Vox-UDA: Voxel-wise Unsupervised Domain Adaptation for Cryo-Electron Subtomogram Segmentation with Denoised Pseudo Labeling—0
Hot-Distance: Combining One-Hot and Signed Distance Embeddings for Segmentation—0
Deep learning-based brain segmentation model performance validation with clinical radiotherapy CT—0
Continuous Urban Change Detection from Satellite Image Time Series with Temporal Feature Refinement and Multi-Task IntegrationCode1
Domain Adaptation of Echocardiography Segmentation Via Reinforcement LearningCode1
Investigating Self-Supervised Methods for Label-Efficient Learning—0
Principal Component Clustering for Semantic Segmentation in Synthetic Data Generation—0
Point-SAM: Promptable 3D Segmentation Model for Point CloudsCode3
Test-Time Generative Augmentation for Medical Image SegmentationCode1
Medical Image Segmentation Using Directional Window AttentionCode0
PVUW 2024 Challenge on Complex Video Understanding: Methods and ResultsCode4
Are Vision xLSTM Embedded UNet More Reliable in Medical 3D Image Segmentation?Code2
GMT: Guided Mask Transformer for Leaf Instance SegmentationCode0
Instance Consistency Regularization for Semi-Supervised 3D Instance SegmentationCode1
SegNet4D: Efficient Instance-Aware 4D Semantic Segmentation for LiDAR Point CloudCode2
SLOctolyzer: Fully automatic analysis toolkit for segmentation and feature extracting in scanning laser ophthalmoscopy imagesCode1
Unsupervised Domain Adaptation for Pediatric Brain Tumor SegmentationCode1
Articulate your NeRF: Unsupervised articulated object modeling via conditional view synthesis—0
Feature-prompting GBMSeg: One-Shot Reference Guided Training-Free Prompt Engineering for Glomerular Basement Membrane SegmentationCode1
Demystifying the Effect of Receptive Field Size in U-Net Models for Medical Image SegmentationCode0
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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