SOTAVerified

Segmentation

Papers

Showing 351375 of 13072 papers

TitleStatusHype
DatasetDM: Synthesizing Data with Perception Annotations Using Diffusion ModelsCode2
XMem++: Production-level Video Segmentation From Few Annotated FramesCode2
A Survey on Open-Vocabulary Detection and Segmentation: Past, Present, and FutureCode2
Dynamic Snake Convolution based on Topological Geometric Constraints for Tubular Structure SegmentationCode2
Hierarchical Open-vocabulary Universal Image SegmentationCode2
Foundation Model for Endoscopy Video Analysis via Large-scale Self-supervised Pre-trainCode2
MIS-FM: 3D Medical Image Segmentation using Foundation Models Pretrained on a Large-Scale Unannotated DatasetCode2
Towards Open Vocabulary Learning: A SurveyCode2
RSPrompter: Learning to Prompt for Remote Sensing Instance Segmentation based on Visual Foundation ModelCode2
CellViT: Vision Transformers for Precise Cell Segmentation and ClassificationCode2
3DSAM-adapter: Holistic adaptation of SAM from 2D to 3D for promptable tumor segmentationCode2
OpenMask3D: Open-Vocabulary 3D Instance SegmentationCode2
2nd Place Winning Solution for the CVPR2023 Visual Anomaly and Novelty Detection Challenge: Multimodal Prompting for Data-centric Anomaly DetectionCode2
SegViTv2: Exploring Efficient and Continual Semantic Segmentation with Plain Vision TransformersCode2
GRES: Generalized Referring Expression SegmentationCode2
3DTeethSeg'22: 3D Teeth Scan Segmentation and Labeling ChallengeCode2
SSSegmenation: An Open Source Supervised Semantic Segmentation Toolbox Based on PyTorchCode2
The Brain Tumor Segmentation (BraTS) Challenge 2023: Focus on Pediatrics (CBTN-CONNECT-DIPGR-ASNR-MICCAI BraTS-PEDs)Code2
SAD: Segment Any RGBDCode2
Matcher: Segment Anything with One Shot Using All-Purpose Feature MatchingCode2
Going Denser with Open-Vocabulary Part SegmentationCode2
DeepEdit: Deep Editable Learning for Interactive Segmentation of 3D Medical ImagesCode2
Segment Any Anomaly without Training via Hybrid Prompt RegularizationCode2
AbdomenAtlas-8K: Annotating 8,000 CT Volumes for Multi-Organ Segmentation in Three WeeksCode2
SAMRS: Scaling-up Remote Sensing Segmentation Dataset with Segment Anything ModelCode2
Show:102550
← PrevPage 15 of 523Next →

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