SOTAVerified

Segmentation

Papers

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Showing 6001–6025 of 13072 papers

TitleStatusHype
Handwritten and Printed Text Segmentation: A Signature Case Study—0
MPDIoU: A Loss for Efficient and Accurate Bounding Box Regression—0
Attention-Enhanced Co-Interactive Fusion Network (AECIF-Net) for Automated Structural Condition Assessment in Visual InspectionCode0
LEST: Large-scale LiDAR Semantic Segmentation with Transformer—0
RVD: A Handheld Device-Based Fundus Video Dataset for Retinal Vessel Segmentation—0
DenseMP: Unsupervised Dense Pre-training for Few-shot Medical Image Segmentation—0
Grain and Grain Boundary Segmentation using Machine Learning with Real and Generated Datasets—0
OG: Equip vision occupancy with instance segmentation and visual grounding—0
RaBiT: An Efficient Transformer using Bidirectional Feature Pyramid Network with Reverse Attention for Colon Polyp SegmentationCode0
Rectifying Noisy Labels with Sequential Prior: Multi-Scale Temporal Feature Affinity Learning for Robust Video SegmentationCode0
Automatic Generation of Semantic Parts for Face Image SynthesisCode0
A Hierarchical Transformer Encoder to Improve Entire Neoplasm Segmentation on Whole Slide Image of Hepatocellular Carcinoma—0
3D Medical Image Segmentation based on multi-scale MPU-NetCode0
Argumentative Segmentation Enhancement for Legal Summarization—0
SAM^Med: A medical image annotation framework based on large vision model—0
3D detection of roof sections from a single satellite image and application to LOD2-building reconstruction—0
Non-Hierarchical Transformers for Pedestrian Segmentation—0
Estimating label quality and errors in semantic segmentation data via any model—0
Q-YOLOP: Quantization-aware You Only Look Once for Panoptic Driving Perception—0
FODVid: Flow-guided Object Discovery in Videos—0
Enhancing Building Semantic Segmentation Accuracy with Super Resolution and Deep Learning: Investigating the Impact of Spatial Resolution on Various Datasets—0
Building and Road Segmentation Using EffUNet and Transfer Learning Approach—0
Distilling Self-Supervised Vision Transformers for Weakly-Supervised Few-Shot Classification & Segmentation—0
Unsupervised Segmentation of Fetal Brain MRI using Deep Learning Cascaded RegistrationCode0
Motion Magnification in Robotic Sonography: Enabling Pulsation-Aware Artery SegmentationCode0
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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