SOTAVerified

Segmentation

Papers

Showing 776800 of 13072 papers

TitleStatusHype
AutoPET Challenge 2023: Sliding Window-based Optimization of U-NetCode1
Cyclical Self-Supervision for Semi-Supervised Ejection Fraction Prediction from Echocardiogram VideosCode1
Automated Segmentation of Optical Coherence Tomography Angiography Images: Benchmark Data and Clinically Relevant MetricsCode1
Cutting-edge 3D Medical Image Segmentation Methods in 2020: Are Happy Families All Alike?Code1
AutoML Segmentation for 3D Medical Image Data: Contribution to the MSD Challenge 2018Code1
Auto-Panoptic: Cooperative Multi-Component Architecture Search for Panoptic SegmentationCode1
CuVLER: Enhanced Unsupervised Object Discoveries through Exhaustive Self-Supervised TransformersCode1
1st Place Solution for the 5th LSVOS Challenge: Video Instance SegmentationCode1
AutoVisual Fusion Suite: A Comprehensive Evaluation of Image Segmentation and Voice Conversion Tools on HuggingFace PlatformCode1
AutoGPart: Intermediate Supervision Search for Generalizable 3D Part SegmentationCode1
Deep Learning based Food Instance Segmentation using Synthetic DataCode1
A Computed Tomography Vertebral Segmentation Dataset with Anatomical Variations and Multi-Vendor Scanner DataCode1
Automated forest inventory: analysis of high-density airborne LiDAR point clouds with 3D deep learningCode1
A Large-Scale Benchmark for Food Image SegmentationCode1
A Large-Scale Dataset for Benchmarking Elevator Button Segmentation and Character RecognitionCode1
AVSegFormer: Audio-Visual Segmentation with TransformerCode1
A Robust Volumetric Transformer for Accurate 3D Tumor SegmentationCode1
Weakly-Supervised Surface Crack Segmentation by Generating Pseudo-Labels using Localization with a Classifier and ThresholdingCode1
A Weakly Supervised Amodal Segmenter with Boundary Uncertainty EstimationCode1
A Learning Strategy for Contrast-agnostic MRI SegmentationCode1
A context based deep learning approach for unbalanced medical image segmentationCode1
ALGM: Adaptive Local-then-Global Token Merging for Efficient Semantic Segmentation with Plain Vision TransformersCode1
AWGUNET: Attention-Aided Wavelet Guided U-Net for Nuclei Segmentation in Histopathology ImagesCode1
CV 3315 Is All You Need : Semantic Segmentation CompetitionCode1
Cyclic Learning: Bridging Image-level Labels and Nuclei Instance SegmentationCode1
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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