SOTAVerified

Segmentation

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 9376–9400 of 13072 papers

TitleStatusHype
MuraNet: Multi-task Floor Plan Recognition with Relation Attention—0
A Survey on Instance Segmentation: State of the art—0
Focus, Segment and Erase: An Efficient Network for Multi-Label Brain Tumor Segmentation—0
A Survey on Deep Learning Methods for Semantic Image Segmentation in Real-Time—0
FODVid: Flow-guided Object Discovery in Videos—0
FOMTrace: Interactive Video Segmentation By Image Graphs and Fuzzy Object Models—0
FoodLMM: A Versatile Food Assistant using Large Multi-modal Model—0
FoodMem: Near Real-time and Precise Food Video Segmentation—0
A Survey on Deep Learning-based Architectures for Semantic Segmentation on 2D images—0
Fool Me Once: Robust Selective Segmentation via Out-of-Distribution Detection with Contrastive Learning—0
A Survey on Cell Nuclei Instance Segmentation and Classification: Leveraging Context and Attention—0
MuSCLe: A Multi-Strategy Contrastive Learning Framework for Weakly Supervised Semantic Segmentation—0
Foreground-Background Segmentation Based on Codebook and Edge Detector—0
A Survey of Semantic Segmentation—0
Foreground Clustering for Joint Segmentation and Localization in Videos and Images—0
Foreground object segmentation in RGB-D data implemented on GPU—0
Foreground segmentation based on multi-resolution and matting—0
Forest and Water Bodies Segmentation Through Satellite Images Using U-Net—0
FOR-instance: a UAV laser scanning benchmark dataset for semantic and instance segmentation of individual trees—0
Formula-Driven Data Augmentation and Partial Retinal Layer Copying for Retinal Layer Segmentation—0
Fortification of Neural Morphological Segmentation Models for Polysynthetic Minimal-Resource Languages—0
Muscle volume quantification: guiding transformers with anatomical priors—0
A Survey and Analysis on Automated Glioma Brain Tumor Segmentation and Overall Patient Survival Prediction—0
Foundation AI Model for Medical Image Segmentation—0
A superpixel-driven deep learning approach for the analysis of dermatological wounds—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