SOTAVerified

Segmentation

Papers

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Showing 9751–9775 of 13072 papers

TitleStatusHype
Global Motion Understanding in Large-Scale Video Object Segmentation—0
Global Optimality Guarantees for Nonconvex Unsupervised Video Segmentation—0
Global Planar Convolutions for improved context aggregation in Brain Tumor Segmentation—0
A Proximal Bregman Projection Approach to Continuous Max-Flow Problems Using Entropic Distances—0
A Projected Gradient Descent Method for CRF Inference allowing End-To-End Training of Arbitrary Pairwise Potentials—0
Global Variational Method for Fingerprint Segmentation by Three-part Decomposition—0
Globe230k: A Benchmark Dense-Pixel Annotation Dataset for Global Land Cover Mapping—0
Glo-In-One: Holistic Glomerular Detection, Segmentation, and Lesion Characterization with Large-scale Web Image Mining—0
NeoUNet: Towards accurate colon polyp segmentation and neoplasm detection—0
4D-Former: Multimodal 4D Panoptic Segmentation—0
GMISeg: General Medical Image Segmentation without Re-Training—0
4D Deep Learning for Multiple-Sclerosis Lesion Activity Segmentation—0
A Progressively-trained Scale-invariant and Boundary-aware Deep Neural Network for the Automatic 3D Segmentation of Lung Lesions—0
A probabilistic atlas of the human thalamic nuclei combining ex vivo MRI and histology—0
NeSF: Neural Semantic Fields for Generalizable Semantic Segmentation of 3D Scenes—0
GNCAF: A GNN-based Neighboring Context Aggregation Framework for Tertiary Lymphoid Structures Semantic Segmentation in WSI—0
A Privacy-Preserving Semantic-Segmentation Method Using Domain-Adaptation Technique—0
GNEP Based Dynamic Segmentation and Motion Estimation for Neuromorphic Imaging—0
A Prior Knowledge Based Tumor and Tumoral Subregion Segmentation Tool for Pediatric Brain Tumors—0
GnetSeg: Semantic Segmentation Model Optimized on a 224mW CNN Accelerator Chip at the Speed of 318FPS—0
Going Beyond U-Net: Assessing Vision Transformers for Semantic Segmentation in Microscopy Image Analysis—0
A Principled Deep Random Field Model for Image Segmentation—0
4D Deep Learning for Multiple Sclerosis Lesion Activity Segmentation—0
GOSS: Towards Generalized Open-set Semantic Segmentation—0
ν-net: Deep Learning for Generalized Biventricular Cardiac Mass and Function Parameters—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