SOTAVerified

Segmentation

Papers

Showing 12761300 of 13072 papers

TitleStatusHype
Efficient Two-Step Networks for Temporal Action SegmentationCode1
A SAM-guided and Match-based Semi-Supervised Segmentation Framework for Medical ImagingCode1
ASAP-Net: Attention and Structure Aware Point Cloud Sequence SegmentationCode1
Accelerating Video Object Segmentation with Compressed VideoCode1
ASC-Net : Adversarial-based Selective Network for Unsupervised Anomaly SegmentationCode1
Adversarial Continual Learning for Multi-Domain Hippocampal SegmentationCode1
Campus3D: A Photogrammetry Point Cloud Benchmark for Hierarchical Understanding of Outdoor SceneCode1
A Probabilistic U-Net for Segmentation of Ambiguous ImagesCode1
CANet: Context Aware Network for 3D Brain Glioma SegmentationCode1
Exploring Deeper! Segment Anything Model with Depth Perception for Camouflaged Object DetectionCode1
Exploring Event-driven Dynamic Context for Accident Scene SegmentationCode1
AerialFormer: Multi-resolution Transformer for Aerial Image SegmentationCode1
Can SAM Segment Anything? When SAM Meets Camouflaged Object DetectionCode1
A Self-Distillation Embedded Supervised Affinity Attention Model for Few-Shot SegmentationCode1
A self-supervised learning strategy for postoperative brain cavity segmentation simulating resectionsCode1
Aerial Imagery Pixel-level SegmentationCode1
Exploring The Limits Of Data Augmentation For Retinal Vessel SegmentationCode1
BiSeNet: Bilateral Segmentation Network for Real-time Semantic SegmentationCode1
A Semantic Space is Worth 256 Language Descriptions: Make Stronger Segmentation Models with Descriptive PropertiesCode1
Bird's-Eye-View Panoptic Segmentation Using Monocular Frontal View ImagesCode1
CaraNet: Context Axial Reverse Attention Network for Segmentation of Small Medical ObjectsCode1
AeroPath: An airway segmentation benchmark dataset with challenging pathologyCode1
Efficient Semantic Video Segmentation with Per-frame InferenceCode1
AeroReformer: Aerial Referring Transformer for UAV-based Referring Image SegmentationCode1
ASY-VRNet: Waterway Panoptic Driving Perception Model based on Asymmetric Fair Fusion of Vision and 4D mmWave RadarCode1
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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