SOTAVerified

Segmentation

Papers

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Showing 7501–7525 of 13072 papers

TitleStatusHype
Incorporating Network Built-in Priors in Weakly-supervised Semantic Segmentation—0
CRIS: Collaborative Refinement Integrated with Segmentation for Polyp Segmentation—0
Incorporating Near-Infrared Information into Semantic Image Segmentation—0
MixReorg: Cross-Modal Mixed Patch Reorganization is a Good Mask Learner for Open-World Semantic Segmentation—0
A Unified Framework for Generalized Low-Shot Medical Image Segmentation with Scarce Data—0
Mixture Modeling of Global Shape Priors and Autoencoding Local Intensity Priors for Left Atrium Segmentation—0
Incorporating Inner-word and Out-word Features for Mongolian Morphological Segmentation—0
Incorporating Feature Pyramid Tokenization and Open Vocabulary Semantic Segmentation—0
Incorporating Domain Knowledge To Improve Topic Segmentation Of Long MOOC Lecture Videos—0
Incorporating Boundary Uncertainty into loss functions for biomedical image segmentation—0
CRF Learning with CNN Features for Image Segmentation—0
MLMT-CNN for Object Detection and Segmentation in Multi-layer and Multi-spectral Images—0
A hypothesize-and-verify framework for Text Recognition using Deep Recurrent Neural Networks—0
In-Context Translation: Towards Unifying Image Recognition, Processing, and Generation—0
In-context learning for medical image segmentation—0
Creating A Coefficient of Change in the Built Environment After a Natural Disaster—0
CRCNet: Few-shot Segmentation with Cross-Reference and Region-Global Conditional Networks—0
MMFNet: A Multi-modality MRI Fusion Network for Segmentation of Nasopharyngeal Carcinoma—0
Incomplete Utterance Rewriting as Semantic Segmentation—0
CrashCar101: Procedural Generation for Damage Assessment—0
MMNet: Multi-Mask Network for Referring Image Segmentation—0
Incomplete Multi-modal Brain Tumor Segmentation via Learnable Sorting State Space Model—0
Incomplete hippocampal inversion and hippocampal subfield volumes: Implementation and inter-reliability of automatic segmentation—0
MM-UNet: A Mixed MLP Architecture for Improved Ophthalmic Image Segmentation—0
CrackUDA: Incremental Unsupervised Domain Adaptation for Improved Crack Segmentation in Civil Structures—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