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Segmentation

Papers

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Showing 6401–6425 of 13072 papers

TitleStatusHype
Ensemble Methods for Multi-Organ Segmentation in CT Series—0
SemHint-MD: Learning from Noisy Semantic Labels for Self-Supervised Monocular Depth Estimation—0
Unsupervised Word Segmentation Using Temporal Gradient Pseudo-LabelsCode0
MobileInst: Video Instance Segmentation on the Mobile—0
The impact of training dataset size and ensemble inference strategies on head and neck auto-segmentation—0
Removing supervision in semantic segmentation with local-global matching and area balancingCode0
FreeSeg: Unified, Universal and Open-Vocabulary Image Segmentation—0
Domain Adaptive Semantic Segmentation by Optimal Transport—0
De-coupling and De-positioning Dense Self-supervised LearningCode0
Modified watershed approach for segmentation of complex optical coherence tomographic images—0
Deformable Kernel Expansion Model for Efficient Arbitrary-shaped Scene Text Detection—0
AutoKary2022: A Large-Scale Densely Annotated Dataset for Chromosome Instance SegmentationCode0
Medical Image Analysis using Deep Relational Learning—0
OpenInst: A Simple Query-Based Method for Open-World Instance Segmentation—0
That Label's Got Style: Handling Label Style Bias for Uncertain Image Segmentation—0
Few-Shot 3D Point Cloud Semantic Segmentation via Stratified Class-Specific Attention Based Transformer Network—0
MS-MT: Multi-Scale Mean Teacher with Contrastive Unpaired Translation for Cross-Modality Vestibular Schwannoma and Cochlea Segmentation—0
4D Panoptic Segmentation as Invariant and Equivariant Field Prediction—0
D-TrAttUnet: Dual-Decoder Transformer-Based Attention Unet Architecture for Binary and Multi-classes Covid-19 Infection SegmentationCode0
Parameter Efficient Local Implicit Image Function Network for Face Segmentation—0
Multi-view Cross-Modality MR Image Translation for Vestibular Schwannoma and Cochlea Segmentation—0
EFEM: Equivariant Neural Field Expectation Maximization for 3D Object Segmentation Without Scene Supervision—0
Automatic Number Plate Recognition using Random Forest Classifier—0
A Contrastive Learning Scheme with Transformer Innate PatchesCode0
UnScene3D: Unsupervised 3D Instance Segmentation for Indoor Scenes—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