SOTAVerified

Segmentation

Papers

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Showing 3501–3550 of 13072 papers

TitleStatusHype
ClusterFormer: Clustering As A Universal Visual LearnerCode1
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
FP-PET: Large Model, Multiple Loss And Focused Practice—0
PI-RADS v2 Compliant Automated Segmentation of Prostate Zones Using co-training Motivated Multi-task Dual-Path CNN—0
PanoVOS: Bridging Non-panoramic and Panoramic Views with Transformer for Video SegmentationCode1
AutoPET Challenge 2023: Sliding Window-based Optimization of U-NetCode1
SANPO: A Scene Understanding, Accessibility and Human Navigation Dataset—0
Deshadow-Anything: When Segment Anything Model Meets Zero-shot shadow removal—0
SAM-OCTA: A Fine-Tuning Strategy for Applying Foundation Model to OCTA Image Segmentation TasksCode1
Multi-level Asymmetric Contrastive Learning for Volumetric Medical Image Segmentation Pre-trainingCode0
FourierLoss: Shape-Aware Loss Function with Fourier Descriptors—0
MoDA: Leveraging Motion Priors from Videos for Advancing Unsupervised Domain Adaptation in Semantic SegmentationCode0
More complex encoder is not all you needCode0
3D-U-SAM Network For Few-shot Tooth Segmentation in CBCT Images—0
Generalized Few-Shot Point Cloud Segmentation Via Geometric WordsCode1
Multi-grained Temporal Prototype Learning for Few-shot Video Object SegmentationCode0
From Classification to Segmentation with Explainable AI: A Study on Crack Detection and Growth Monitoring—0
Long-Form End-to-End Speech Translation via Latent Alignment Segmentation—0
GraphEcho: Graph-Driven Unsupervised Domain Adaptation for Echocardiogram Video SegmentationCode1
Enhancing motion trajectory segmentation of rigid bodies using a novel screw-based trajectory-shape representation—0
CaveSeg: Deep Semantic Segmentation and Scene Parsing for Autonomous Underwater Cave Exploration—0
An Empirical Study of Attention Networks for Semantic Segmentation—0
Self2Seg: Single-Image Self-Supervised Joint Segmentation and DenoisingCode0
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