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Segmentation

Papers

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Showing 4776–4800 of 13072 papers

TitleStatusHype
Does SAM dream of EIG? Characterizing Interactive Segmenter Performance using Expected Information Gain—0
AnoFPDM: Anomaly Segmentation with Forward Process of Diffusion Models for Brain MRICode0
DAWN: Domain-Adaptive Weakly Supervised Nuclei Segmentation via Cross-Task InteractionsCode0
Progressive Token Length Scaling in Transformer Encoders for Efficient Universal SegmentationCode0
CFPFormer: Feature-pyramid like Transformer Decoder for Segmentation and Detection—0
Ultrasound Nodule Segmentation Using Asymmetric Learning with Simple Clinical AnnotationCode0
360VOTS: Visual Object Tracking and Segmentation in Omnidirectional Videos—0
A Multimodal Feature Distillation with CNN-Transformer Network for Brain Tumor Segmentation with Incomplete ModalitiesCode0
GatedLexiconNet: A Comprehensive End-to-End Handwritten Paragraph Text Recognition System—0
A Novel Approach to Chest X-ray Lung Segmentation Using U-net and Modified Convolutional Block Attention Module—0
HOIST-Former: Hand-held Objects Identification, Segmentation, and Tracking in the Wild—0
BC-MRI-SEG: A Breast Cancer MRI Tumor Segmentation Benchmark—0
Turb-Seg-Res: A Segment-then-Restore Pipeline for Dynamic Videos with Atmospheric Turbulence—0
PV-S3: Advancing Automatic Photovoltaic Defect Detection using Semi-Supervised Semantic Segmentation of Electroluminescence ImagesCode0
Beyond Pixel-Wise Supervision for Medical Image Segmentation: From Traditional Models to Foundation Models—0
SEGSRNet for Stereo-Endoscopic Image Super-Resolution and Surgical Instrument Segmentation—0
Show and Grasp: Few-shot Semantic Segmentation for Robot Grasping through Zero-shot Foundation Models—0
BACS: Background Aware Continual Semantic SegmentationCode0
Improving Prediction Accuracy of Semantic Segmentation Methods Using Convolutional Autoencoder Based Pre-processing Layers—0
Unlocking Robust Segmentation Across All Age Groups via Continual Learning—0
Contrastive Gaussian Clustering: Weakly Supervised 3D Scene Segmentation—0
COIN: Counterfactual inpainting for weakly supervised semantic segmentation for medical imagesCode0
ToNNO: Tomographic Reconstruction of a Neural Network's Output for Weakly Supervised Segmentation of 3D Medical Images—0
ELEV-VISION-SAM: Integrated Vision Language and Foundation Model for Automated Estimation of Building Lowest Floor Elevation—0
Weakly Supervised LiDAR Semantic Segmentation via Scatter Image Annotation—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