SOTAVerified

Segmentation

Papers

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Showing 9451–9475 of 13072 papers

TitleStatusHype
SegGen: Supercharging Segmentation Models with Text2Mask and Mask2Img Synthesis—0
SegGPT: Towards Segmenting Everything in Context—0
SegHeD: Segmentation of Heterogeneous Data for Multiple Sclerosis Lesions with Anatomical Constraints—0
SegHeD+: Segmentation of Heterogeneous Data for Multiple Sclerosis Lesions with Anatomical Constraints and Lesion-aware Augmentation—0
SegICL: A Multimodal In-context Learning Framework for Enhanced Segmentation in Medical Imaging—0
SegLLM: Multi-round Reasoning Segmentation—0
SegLoc: Learning Segmentation-Based Representations for Privacy-Preserving Visual Localization—0
SegMatch: A semi-supervised learning method for surgical instrument segmentation—0
SEGMENT3D: A Web-based Application for Collaborative Segmentation of 3D images used in the Shoot Apical Meristem—0
Segment3D: Learning Fine-Grained Class-Agnostic 3D Segmentation without Manual Labels—0
Segmentação e contagem de troncos de madeira utilizando deep learning e processamento de imagens—0
Segmental Audio Word2Vec: Representing Utterances as Sequences of Vectors with Applications in Spoken Term Detection—0
Segment (Almost) Nothing: Prompt-Agnostic Adversarial Attacks on Segmentation Models—0
Segmental Spatiotemporal CNNs for Fine-grained Action Segmentation—0
Segment Any 3D Gaussians—0
Segment Any 4D Gaussians—0
Segment Any Architectural Facades (SAAF):An automatic segmentation model for building facades, walls and windows based on multimodal semantics guidance—0
Segment Any Building—0
Segment Any Cell: A SAM-based Auto-prompting Fine-tuning Framework for Nuclei Segmentation—0
Segment Any Class (SAC): Multi-Class Few-Shot Semantic Segmentation via Class Region Proposals—0
Segment Any Crack: Deep Semantic Segmentation Adaptation for Crack Detection—0
Segment Any Motion in Videos—0
Segment Any Object Model (SAOM): Real-to-Simulation Fine-Tuning Strategy for Multi-Class Multi-Instance Segmentation—0
Segment Any-Quality Images with Generative Latent Space Enhancement—0
Segment Any RGB-Thermal Model with Language-aided Distillation—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