SOTAVerified

Segmentation

Papers

Showing 1142611450 of 13072 papers

TitleStatusHype
Unsupervised Morphology Learning with Statistical ParadigmsCode0
Training Generative Adversarial Networks from Incomplete Observations using Factorised DiscriminatorsCode0
Semantic Projection Network for Zero- and Few-Label Semantic SegmentationCode0
Motion Segmentation for Neuromorphic Aerial SurveillanceCode0
Semantic Instance Segmentation with a Discriminative Loss FunctionCode0
QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation - Analysis of Ranking Scores and Benchmarking ResultsCode0
VLTP: Vision-Language Guided Token Pruning for Task-Oriented SegmentationCode0
Quantum Patch-Based Autoencoder for Anomaly SegmentationCode0
Quantifying the Limits of Segmentation Foundation Models: Modeling Challenges in Segmenting Tree-Like and Low-Contrast ObjectsCode0
Semantic Instance Segmentation via Deep Metric LearningCode0
Semantic Instance Labeling Leveraging Hierarchical SegmentationCode0
Semantic Correlation Promoted Shape-Variant Context for SegmentationCode0
Unsupervised Neural Word Segmentation for Chinese via Segmental Language ModelingCode0
TransClaw U-Net: Claw U-Net with Transformers for Medical Image SegmentationCode0
Voxel2Mesh: 3D Mesh Model Generation from Volumetric DataCode0
Semantic Context Forests for Learning-Based Knee Cartilage Segmentation in 3D MR ImagesCode0
Unsupervised Online Video Object Segmentation with Motion Property UnderstandingCode0
RITnet: Real-time Semantic Segmentation of the Eye for Gaze TrackingCode0
PCDAL: A Perturbation Consistency-Driven Active Learning Approach for Medical Image Segmentation and ClassificationCode0
Vocabulary-free Image Classification and Semantic SegmentationCode0
Transferable Attack for Semantic SegmentationCode0
VOILA: Complexity-Aware Universal Segmentation of CT images by Voxel Interacting with LanguageCode0
Semantic Bottleneck Scene GenerationCode0
Quantifying Statistical Significance of Neural Network-based Image Segmentation by Selective InferenceCode0
Weakly Supervised Volumetric Segmentation via Self-taught Shape Denoising ModelCode0
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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