SOTAVerified

Segmentation

Papers

Showing 17761800 of 13072 papers

TitleStatusHype
CuVLER: Enhanced Unsupervised Object Discoveries through Exhaustive Self-Supervised TransformersCode1
Mask-Enhanced Segment Anything Model for Tumor Lesion Semantic SegmentationCode1
Medical Image Segmentation via Unsupervised Convolutional Neural NetworkCode1
Autoregressive Unsupervised Image SegmentationCode1
Actor and Action Video Segmentation from a SentenceCode1
MaskSplit: Self-supervised Meta-learning for Few-shot Semantic SegmentationCode1
AutoVisual Fusion Suite: A Comprehensive Evaluation of Image Segmentation and Voice Conversion Tools on HuggingFace PlatformCode1
CUTS: A Deep Learning and Topological Framework for Multigranular Unsupervised Medical Image SegmentationCode1
CV 3315 Is All You Need : Semantic Segmentation CompetitionCode1
A Multi-Task Deep Learning Framework for Building Footprint SegmentationCode1
MAS-SAM: Segment Any Marine Animal with Aggregated FeaturesCode1
A Multi-task Framework for Infrared Small Target Detection and SegmentationCode1
Brain tumor segmentation using synthetic MR images -- A comparison of GANs and diffusion modelsCode1
A Curriculum Domain Adaptation Approach to the Semantic Segmentation of Urban ScenesCode1
MATIS: Masked-Attention Transformers for Surgical Instrument SegmentationCode1
D2A U-Net: Automatic Segmentation of COVID-19 Lesions from CT Slices with Dilated Convolution and Dual Attention MechanismCode1
Dataset Diffusion: Diffusion-based Synthetic Dataset Generation for Pixel-Level Semantic SegmentationCode1
AVSegFormer: Audio-Visual Segmentation with TransformerCode1
MCP-MedSAM: A Powerful Lightweight Medical Segment Anything Model Trained with a Single GPU in Just One DayCode1
CTooth+: A Large-scale Dental Cone Beam Computed Tomography Dataset and Benchmark for Tooth Volume SegmentationCode1
Med3D: Transfer Learning for 3D Medical Image AnalysisCode1
CTooth: A Fully Annotated 3D Dataset and Benchmark for Tooth Volume Segmentation on Cone Beam Computed Tomography ImagesCode1
Weakly-Supervised Surface Crack Segmentation by Generating Pseudo-Labels using Localization with a Classifier and ThresholdingCode1
Adapt Before Comparison: A New Perspective on Cross-Domain Few-Shot SegmentationCode1
CTSpine1K: A Large-Scale Dataset for Spinal Vertebrae Segmentation in Computed TomographyCode1
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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