SOTAVerified

Segmentation

Papers

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Showing 11001–11025 of 13072 papers

TitleStatusHype
A Markov Random Field and Active Contour Image Segmentation Model for Animal Spots Patterns—0
A margin-based replacement for cross-entropy loss—0
Latency-aware Road Anomaly Segmentation in Videos: A Photorealistic Dataset and New Metrics—0
Latent Anomaly Detection: Masked VQ-GAN for Unsupervised Segmentation in Medical CBCT—0
Latent Correlation Representation Learning for Brain Tumor Segmentation with Missing MRI Modalities—0
Alternating Segmentation and Simulation for Contrast Adaptive Tissue Classification—0
AlphaNet: An Attention Guided Deep Network for Automatic Image Matting—0
PaRK-Detect: Towards Efficient Multi-Task Satellite Imagery Road Extraction via Patch-Wise Keypoints Detection—0
Latents2Segments: Disentangling the Latent Space of Generative Models for Semantic Segmentation of Face Images—0
Ultrasound segmentation using U-Net: learning from simulated data and testing on real data—0
Latent Space Unsupervised Semantic Segmentation—0
On Learning the Right Attention Point for Feature Enhancement—0
OneSeg: Self-learning and One-shot Learning based Single-slice Annotation for 3D Medical Image Segmentation—0
LatticeNet: Fast Spatio-Temporal Point Cloud Segmentation Using Permutohedral Lattices—0
LATUP-Net: A Lightweight 3D Attention U-Net with Parallel Convolutions for Brain Tumor Segmentation—0
Alpha Matte Generation from Single Input for Portrait Matting—0
Segmentation of Parotid Gland Tumors Using Multimodal MRI and Contrastive Learning—0
Layer Ensembles: A Single-Pass Uncertainty Estimation in Deep Learning for Segmentation—0
Lazy Random Walks for Superpixel Segmentation—0
LCCo: Lending CLIP to Co-Segmentation—0
A Locally Adapting Technique for Boundary Detection using Image Segmentation—0
3-Dimensional Deep Learning with Spatial Erasing for Unsupervised Anomaly Segmentation in Brain MRI—0
LCP-dropout: Compression-based Multiple Subword Segmentation for Neural Machine Translation—0
LDD: A Dataset for Grape Diseases Object Detection and Instance Segmentation—0
Parotid Gland MRI Segmentation Based on Swin-Unet and Multimodal Images—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