SOTAVerified

Segmentation

Papers

Showing 101125 of 13072 papers

TitleStatusHype
Where's the Point? Self-Supervised Multilingual Punctuation-Agnostic Sentence SegmentationCode3
Personalize Segment Anything Model with One ShotCode3
Medical SAM Adapter: Adapting Segment Anything Model for Medical Image SegmentationCode3
Segment Anything in 3D with Radiance FieldsCode3
SAM Fails to Segment Anything? -- SAM-Adapter: Adapting SAM in Underperformed Scenes: Camouflage, Shadow, Medical Image Segmentation, and MoreCode3
A Simple Framework for Open-Vocabulary Segmentation and DetectionCode3
MedSegDiff-V2: Diffusion based Medical Image Segmentation with TransformerCode3
Generalized Decoding for Pixel, Image, and LanguageCode3
OneFormer: One Transformer to Rule Universal Image SegmentationCode3
MedSegDiff: Medical Image Segmentation with Diffusion Probabilistic ModelCode3
Vision Transformers: From Semantic Segmentation to Dense PredictionCode3
XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory ModelCode3
PETRv2: A Unified Framework for 3D Perception from Multi-Camera ImagesCode3
UNetFormer: A Unified Vision Transformer Model and Pre-Training Framework for 3D Medical Image SegmentationCode3
Min-Max Similarity: A Contrastive Semi-Supervised Deep Learning Network for Surgical Tools SegmentationCode3
Nuclei instance segmentation and classification in histopathology images with StarDistCode3
UNETR: Transformers for 3D Medical Image SegmentationCode3
MA-Net: A Multi-Scale Attention Network for Liver and Tumor SegmentationCode3
FDA: Fourier Domain Adaptation for Semantic SegmentationCode3
U-Net: Convolutional Networks for Biomedical Image SegmentationCode3
Alleviating Textual Reliance in Medical Language-guided Segmentation via Prototype-driven Semantic ApproximationCode2
Seg-R1: Segmentation Can Be Surprisingly Simple with Reinforcement LearningCode2
Pre-Trained LLM is a Semantic-Aware and Generalizable Segmentation BoosterCode2
Urban1960SatSeg: Unsupervised Semantic Segmentation of Mid-20^th century Urban Landscapes with Satellite ImageriesCode2
Segment This Thing: Foveated Tokenization for Efficient Point-Prompted SegmentationCode2
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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