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Segmentation

Papers

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Showing 3501–3525 of 13072 papers

TitleStatusHype
ClusterFormer: Clustering As A Universal Visual LearnerCode1
PI-RADS v2 Compliant Automated Segmentation of Prostate Zones Using co-training Motivated Multi-task Dual-Path CNN—0
FP-PET: Large Model, Multiple Loss And Focused Practice—0
Synthetic Boost: Leveraging Synthetic Data for Enhanced Vision-Language Segmentation in EchocardiographyCode0
PointSSC: A Cooperative Vehicle-Infrastructure Point Cloud Benchmark for Semantic Scene CompletionCode1
Performance Analysis of UNet and Variants for Medical Image Segmentation—0
PanoVOS: Bridging Non-panoramic and Panoramic Views with Transformer for Video SegmentationCode1
AutoPET Challenge 2023: Sliding Window-based Optimization of U-NetCode1
MoDA: Leveraging Motion Priors from Videos for Advancing Unsupervised Domain Adaptation in Semantic SegmentationCode0
Multi-level Asymmetric Contrastive Learning for Volumetric Medical Image Segmentation Pre-trainingCode0
SANPO: A Scene Understanding, Accessibility and Human Navigation Dataset—0
FourierLoss: Shape-Aware Loss Function with Fourier Descriptors—0
SAM-OCTA: A Fine-Tuning Strategy for Applying Foundation Model to OCTA Image Segmentation TasksCode1
Deshadow-Anything: When Segment Anything Model Meets Zero-shot shadow removal—0
3D-U-SAM Network For Few-shot Tooth Segmentation in CBCT Images—0
More complex encoder is not all you needCode0
Multi-grained Temporal Prototype Learning for Few-shot Video Object SegmentationCode0
Enhancing motion trajectory segmentation of rigid bodies using a novel screw-based trajectory-shape representation—0
Generalized Few-Shot Point Cloud Segmentation Via Geometric WordsCode1
GraphEcho: Graph-Driven Unsupervised Domain Adaptation for Echocardiogram Video SegmentationCode1
CaveSeg: Deep Semantic Segmentation and Scene Parsing for Autonomous Underwater Cave Exploration—0
Long-Form End-to-End Speech Translation via Latent Alignment Segmentation—0
From Classification to Segmentation with Explainable AI: A Study on Crack Detection and Growth Monitoring—0
An Empirical Study of Attention Networks for Semantic Segmentation—0
Few-Shot Panoptic Segmentation With Foundation ModelsCode1
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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