SOTAVerified

Segmentation

Papers

Showing 21012150 of 13072 papers

TitleStatusHype
DEU-Net: Dual-Encoder U-Net for Automated Skin Lesion SegmentationCode1
Anomaly Detection-Inspired Few-Shot Medical Image Segmentation Through Self-Supervision With SupervoxelsCode1
AMAES: Augmented Masked Autoencoder Pretraining on Public Brain MRI Data for 3D-Native SegmentationCode1
Detection-segmentation convolutional neural network for autonomous vehicle perceptionCode1
Development of accurate human head models for personalized electromagnetic dosimetry using deep learningCode1
DIAS: A Dataset and Benchmark for Intracranial Artery Segmentation in DSA sequencesCode1
Diffusion Models for Implicit Image Segmentation EnsemblesCode1
DeSTSeg: Segmentation Guided Denoising Student-Teacher for Anomaly DetectionCode1
Synthetic optical coherence tomography angiographs for detailed retinal vessel segmentation without human annotationsCode1
Validating polyp and instrument segmentation methods in colonoscopy through Medico 2020 and MedAI 2021 ChallengesCode1
DermoSegDiff: A Boundary-aware Segmentation Diffusion Model for Skin Lesion DelineationCode1
DeSAM: Decoupled Segment Anything Model for Generalizable Medical Image SegmentationCode1
Detecting Anomalies in Semantic Segmentation with PrototypesCode1
Annotator Consensus Prediction for Medical Image Segmentation with Diffusion ModelsCode1
Dense Unsupervised Learning for Video SegmentationCode1
Depth-Assisted ResiDualGAN for Cross-Domain Aerial Images Semantic SegmentationCode1
Dense Gaussian Processes for Few-Shot SegmentationCode1
3DConvCaps: 3DUnet with Convolutional Capsule Encoder for Medical Image SegmentationCode1
DensePASS: Dense Panoramic Semantic Segmentation via Unsupervised Domain Adaptation with Attention-Augmented Context ExchangeCode1
Depth-aware Object Segmentation and Grasp Detection for Robotic Picking TasksCode1
Detection and Segmentation of Lesion Areas in Chest CT Scans For The Prediction of COVID-19Code1
Latent Diffusion for Medical Image Segmentation: End to end learning for fast sampling and accuracyCode1
Annotation-efficient learning for OCT segmentationCode1
Extract Free Dense Labels from CLIPCode1
Denoising Diffusion Probabilistic Model for Retinal Image Generation and SegmentationCode1
ABANet: Attention boundary-aware network for image segmentationCode1
Denoising Diffusion Probabilistic Models for Generation of Realistic Fully-Annotated Microscopy Image Data SetsCode1
Dense Contrastive Learning for Self-Supervised Visual Pre-TrainingCode1
Delving into the Cyclic Mechanism in Semi-supervised Video Object SegmentationCode1
Delving into Shape-aware Zero-shot Semantic SegmentationCode1
Demystifying Brain Tumour Segmentation Networks: Interpretability and Uncertainty AnalysisCode1
Delving Deeper into Anti-aliasing in ConvNetsCode1
Channelized Axial Attention for Semantic Segmentation -- Considering Channel Relation within Spatial Attention for Semantic SegmentationCode1
Delving into High-Quality Synthetic Face Occlusion Segmentation DatasetsCode1
DenoiSeg: Joint Denoising and SegmentationCode1
Dense Cross-Query-and-Support Attention Weighted Mask Aggregation for Few-Shot SegmentationCode1
Diff-VPS: Video Polyp Segmentation via a Multi-task Diffusion Network with Adversarial Temporal ReasoningCode1
DroTrack: High-speed Drone-based Object Tracking Under UncertaintyCode1
Deep Variational Instance SegmentationCode1
UniUSNet: A Promptable Framework for Universal Ultrasound Disease Prediction and Tissue SegmentationCode1
DeepVoxNet2: Yet another CNN frameworkCode1
Deep Sensor Fusion with Pyramid Fusion Networks for 3D Semantic SegmentationCode1
AAU-net: An Adaptive Attention U-net for Breast Lesions Segmentation in Ultrasound ImagesCode1
DEFN: Dual-Encoder Fourier Group Harmonics Network for Three-Dimensional Indistinct-Boundary Object SegmentationCode1
Deep Projective 3D Semantic SegmentationCode1
Deep Negative Volume SegmentationCode1
DeepSeg: Deep Neural Network Framework for Automatic Brain Tumor Segmentation using Magnetic Resonance FLAIR ImagesCode1
Anisotropic 3D Multi-Stream CNN for Accurate Prostate Segmentation from Multi-Planar MRICode1
AdaMSS: Adaptive Multi-Modality Segmentation-to-Survival Learning for Survival Outcome Prediction from PET/CT ImagesCode1
DeepMTS: Deep Multi-task Learning for Survival Prediction in Patients with Advanced Nasopharyngeal Carcinoma using Pretreatment PET/CTCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1unSAM+ (Semi-supervised)Average Precision42.8Unverified
2SAMAverage Precision38.9Unverified
#ModelMetricClaimedVerifiedStatus
1HNN10%20Unverified
#ModelMetricClaimedVerifiedStatus
1ABANetF1 Score96.82Unverified
#ModelMetricClaimedVerifiedStatus
1ResNet50 + DeepLabV3+F1 score0.77Unverified
#ModelMetricClaimedVerifiedStatus
1LangGasIoU0.69Unverified