SOTAVerified

Segmentation

Papers

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Showing 8701–8750 of 13072 papers

TitleStatusHype
PhraseClick: Toward Achieving Flexible Interactive Segmentation by Phrase and Click—0
Physics-Based Rendering for Improving Robustness to Rain—0
PI-Att: Topology Attention for Segmentation Networks through Adaptive Persistence Image Representation—0
Pick-and-Learn: Automatic Quality Evaluation for Noisy-Labeled Image Segmentation—0
PicoSAM2: Low-Latency Segmentation In-Sensor for Edge Vision Applications—0
PICS in Pics: Physics Informed Contour Selection for Rapid Image Segmentation—0
Pieces-of-parts for supervoxel segmentation with global context: Application to DCE-MRI tumour delineation—0
Piecewise Flat Embedding for Image Segmentation—0
Piecewise regression mixture for simultaneous functional data clustering and optimal segmentation—0
PIG: Physically-based Multi-Material Interaction with 3D Gaussians—0
PillarSegNet: Pillar-based Semantic Grid Map Estimation using Sparse LiDAR Data—0
PIMMS: Permutation Invariant Multi-Modal Segmentation—0
Deep Structure Learning using Feature Extraction in Trained Projection Space—0
PINN-EMFNet: PINN-based and Enhanced Multi-Scale Feature Fusion Network for Breast Ultrasound Images Segmentation—0
Pioneering Precision in Lumbar Spine MRI Segmentation with Advanced Deep Learning and Data Enhancement—0
PI-RADS v2 Compliant Automated Segmentation of Prostate Zones Using co-training Motivated Multi-task Dual-Path CNN—0
PI-RCNN: An Efficient Multi-sensor 3D Object Detector with Point-based Attentive Cont-conv Fusion Module—0
Pitfalls of topology-aware image segmentation—0
Pixel-Anchor: A Fast Oriented Scene Text Detector with Combined Networks—0
PixelBNN: Augmenting the PixelCNN with batch normalization and the presentation of a fast architecture for retinal vessel segmentation—0
Pixel Consensus Voting for Panoptic Segmentation—0
Pixel Contrastive-Consistent Semi-Supervised Semantic Segmentation—0
Pixel Difference Convolutional Network for RGB-D Semantic Segmentation—0
Pixel-Level Clustering Network for Unsupervised Image Segmentation—0
Pixel-level Corrosion Detection on Metal Constructions by Fusion of Deep Learning Semantic and Contour Segmentation—0
Pixel Level Data Augmentation for Semantic Image Segmentation using Generative Adversarial Networks—0
Pixel-level Intra-domain Adaptation for Semantic Segmentation—0
Pixel-level Semantics Guided Image Colorization—0
Pixel Objectness: Learning to Segment Generic Objects Automatically in Images and Videos—0
Pixels2Points: Fusing 2D and 3D Features for Facial Skin Segmentation—0
PixelThink: Towards Efficient Chain-of-Pixel Reasoning—0
Pixel-wise Ear Detection with Convolutional Encoder-Decoder Networks—0
Pixel-wise object tracking—0
Pixel-wise Segmentation of Right Ventricle of Heart—0
Planar Ultrametric Rounding for Image Segmentation—0
Planar Ultrametrics for Image Segmentation—0
PlaneSAM: Multimodal Plane Instance Segmentation Using the Segment Anything Model—0
PlaneSegNet: Fast and Robust Plane Estimation Using a Single-stage Instance Segmentation CNN—0
PlaNet-S: Automatic Semantic Segmentation of Placenta—0
Plant detection from ultra high resolution remote sensing images: A Semantic Segmentation approach based on fuzzy loss—0
Plants Don't Walk on the Street: Common-Sense Reasoning for Reliable Semantic Segmentation—0
Improving segmentation of calcified and non-calcified plaques on CCTA-CPR scans via masking of the artery wall—0
PlasmoID: A dataset for Indonesian malaria parasite detection and segmentation in thin blood smear—0
PlateSegFL: A Privacy-Preserving License Plate Detection Using Federated Segmentation Learning—0
PLGAN: Generative Adversarial Networks for Power-Line Segmentation in Aerial Images—0
PL-Net: Progressive Learning Network for Medical Image Segmentation—0
Plug-in for visualizing 3D tool tracking from videos of Minimally Invasive Surgeries—0
PLU-Net: Extraction of multi-scale feature fusion—0
PL-UNeXt: Per-stage Edge Detail and Line Feature Guided Segmentation for Power Line Detection—0
P-Mamba: Marrying Perona Malik Diffusion with Mamba for Efficient Pediatric Echocardiographic Left Ventricular Segmentation—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