SOTAVerified

Segmentation

Papers

Showing 10011025 of 13072 papers

TitleStatusHype
AdaptiveSAM: Towards Efficient Tuning of SAM for Surgical Scene SegmentationCode1
An Empirical Study of Tokenization Strategies for Various Korean NLP TasksCode1
Continual Learning for LiDAR Semantic Segmentation: Class-Incremental and Coarse-to-Fine strategies on Sparse DataCode1
Faster Mean-shift: GPU-accelerated clustering for cosine embedding-based cell segmentation and trackingCode1
Fast Neural Architecture Search of Compact Semantic Segmentation Models via Auxiliary CellsCode1
Context Prior for Scene SegmentationCode1
Agriculture-Vision: A Large Aerial Image Database for Agricultural Pattern AnalysisCode1
FCN-Transformer Feature Fusion for Polyp SegmentationCode1
Context-self contrastive pretraining for crop type semantic segmentationCode1
Feasibility Assessment of Multitasking in MRI Neuroimaging Analysis: Tissue Segmentation, Cross-Modality Conversion and Bias correctionCode1
Feature-Proxy Transformer for Few-Shot SegmentationCode1
An End-to-end Framework For Low-Resolution Remote Sensing Semantic SegmentationCode1
1st Place Solution for MeViS Track in CVPR 2024 PVUW Workshop: Motion Expression guided Video SegmentationCode1
A2-FPN for Semantic Segmentation of Fine-Resolution Remotely Sensed ImagesCode1
Leveraging SO(3)-steerable convolutions for pose-robust semantic segmentation in 3D medical dataCode1
Federated Incremental Semantic SegmentationCode1
Context Label Learning: Improving Background Class Representations in Semantic SegmentationCode1
FedLPPA: Learning Personalized Prompt and Aggregation for Federated Weakly-supervised Medical Image SegmentationCode1
Few-shot 3D Point Cloud Semantic SegmentationCode1
Few-Shot Domain Adaptation with Polymorphic TransformersCode1
UniDA3D: Unified Domain Adaptive 3D Semantic Segmentation PipelineCode1
Few Shot Medical Image Segmentation with Cross Attention TransformerCode1
Contextual Attention Network: Transformer Meets U-NetCode1
Continuous Conditional Random Field Convolution for Point Cloud SegmentationCode1
A Good Foundation is Worth Many Labels: Label-Efficient Panoptic SegmentationCode1
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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