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Segmentation

Papers

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Showing 3526–3550 of 13072 papers

TitleStatusHype
PLVS: A SLAM System with Points, Lines, Volumetric Mapping, and 3D Incremental SegmentationCode2
Multi-level feature fusion network combining attention mechanisms for polyp segmentation—0
Edge-aware Feature Aggregation Network for Polyp Segmentation—0
Uncertainty Estimation in Instance Segmentation with Star-convex Shapes—0
Two-stage coarse-to-fine image anomaly segmentation and detection modelCode1
A Geometric Flow Approach for Segmentation of Images with Inhomongeneous Intensity and Missing Boundaries—0
UPL-SFDA: Uncertainty-aware Pseudo Label Guided Source-Free Domain Adaptation for Medical Image SegmentationCode1
Intelligent Debris Mass Estimation Model for Autonomous Underwater Vehicle—0
Few-Shot Panoptic Segmentation With Foundation ModelsCode1
Mask4D: End-to-End Mask-Based 4D Panoptic Segmentation for LiDAR SequencesCode1
Human Activity Segmentation Challenge @ ECML/PKDD’23Code1
Integration of Swin UNETR and statistical shape modeling for a semi-automated segmentation of the knee and biomechanical modeling of articular cartilage—0
Target-aware Bi-Transformer for Few-shot Segmentation—0
Scribble-based 3D Multiple Abdominal Organ Segmentation via Triple-branch Multi-dilated Network with Pixel- and Class-wise Consistency—0
DFormer: Rethinking RGBD Representation Learning for Semantic SegmentationCode2
Designing a Hybrid Neural System to Learn Real-world Crack Segmentation from Fractal-based Simulation—0
Active Learning for Semantic Segmentation with Multi-class Label QueryCode0
Image-level supervision and self-training for transformer-based cross-modality tumor segmentation—0
CLIPUNetr: Assisting Human-robot Interface for Uncalibrated Visual Servoing Control with CLIP-driven Referring Expression Segmentation—0
S3-DST: Structured Open-Domain Dialogue Segmentation and State Tracking in the Era of LLMs—0
GCL: Gradient-Guided Contrastive Learning for Medical Image Segmentation with Multi-Perspective Meta Labels—0
MA-SAM: Modality-agnostic SAM Adaptation for 3D Medical Image SegmentationCode1
Segmentation of Tubular Structures Using Iterative Training with Tailored Samples—0
NISF: Neural Implicit Segmentation FunctionsCode1
URA*: Uncertainty-aware Path Planning using Image-based Aerial-to-Ground Traversability Estimation for Off-road EnvironmentsCode1
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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