SOTAVerified

Segmentation

Papers

Showing 13761400 of 13072 papers

TitleStatusHype
ClusterFormer: Clustering As A Universal Visual LearnerCode1
CLUDA : Contrastive Learning in Unsupervised Domain Adaptation for Semantic SegmentationCode1
A boundary-aware point clustering approach in Euclidean and embedding spaces for roof plane segmentationCode1
A Survey on Deep Learning Technique for Video SegmentationCode1
HCFormer: Unified Image Segmentation with Hierarchical ClusteringCode1
Enhancing Geometric Factors in Model Learning and Inference for Object Detection and Instance SegmentationCode1
Enhanced Boundary Learning for Glass-like Object SegmentationCode1
Boundary-Aware Network for Abdominal Multi-Organ SegmentationCode1
CLUSTSEG: Clustering for Universal SegmentationCode1
Enhanced U-Net: A Feature Enhancement Network for Polyp SegmentationCode1
AsymFormer: Asymmetrical Cross-Modal Representation Learning for Mobile Platform Real-Time RGB-D Semantic SegmentationCode1
Boundary Difference Over Union Loss For Medical Image SegmentationCode1
ADVENT: Adversarial Entropy Minimization for Domain Adaptation in Semantic SegmentationCode1
CMT-DeepLab: Clustering Mask Transformers for Panoptic SegmentationCode1
BoxSnake: Polygonal Instance Segmentation with Box SupervisionCode1
Enhancement of Retinal Fundus Images via Pixel Color AmplificationCode1
Enhancing Hierarchical Transformers for Whole Brain Segmentation with Intracranial Measurements IntegrationCode1
A synergistic CNN-transformer network with pooling attention fusion for hyperspectral image classificationCode1
Code-free development and deployment of deep segmentation models for digital pathologyCode1
A Character-Level Decoder without Explicit Segmentation for Neural Machine TranslationCode1
CoactSeg: Learning from Heterogeneous Data for New Multiple Sclerosis Lesion SegmentationCode1
Coarse-to-Fine Amodal Segmentation with Shape PriorCode1
Coarse-to-Fine Covid-19 Segmentation via Vision-Language AlignmentCode1
A Technical Survey and Evaluation of Traditional Point Cloud Clustering Methods for LiDAR Panoptic SegmentationCode1
Ensemble-based Blackbox Attacks on Dense PredictionCode1
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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