SOTAVerified

Segmentation

Papers

Showing 226250 of 13072 papers

TitleStatusHype
LHU-Net: A Light Hybrid U-Net for Cost-Efficient, High-Performance Volumetric Medical Image SegmentationCode2
Efficient Video Object Segmentation via Modulated Cross-Attention MemoryCode2
LLM-Seg: Bridging Image Segmentation and Large Language Model ReasoningCode2
FEC: Fast Euclidean Clustering for Point Cloud SegmentationCode2
FreeTumor: Advance Tumor Segmentation via Large-Scale Tumor SynthesisCode2
A fully automatic AI system for tooth and alveolar bone segmentation from cone-beam CT imagesCode2
Mask-Adapter: The Devil is in the Masks for Open-Vocabulary SegmentationCode2
Masked-attention Mask Transformer for Universal Image SegmentationCode2
Masked Generative DistillationCode2
Matcher: Segment Anything with One Shot Using All-Purpose Feature MatchingCode2
3D UX-Net: A Large Kernel Volumetric ConvNet Modernizing Hierarchical Transformer for Medical Image SegmentationCode2
MCIBI++: Soft Mining Contextual Information Beyond Image for Semantic SegmentationCode2
Are Vision xLSTM Embedded UNet More Reliable in Medical 3D Image Segmentation?Code2
ASAM: Boosting Segment Anything Model with Adversarial TuningCode2
Scalable Video Object Segmentation with Identification MechanismCode2
EasyPortrait -- Face Parsing and Portrait Segmentation DatasetCode2
ECLIPSE: Efficient Continual Learning in Panoptic Segmentation with Visual Prompt TuningCode2
Memorize What Matters: Emergent Scene Decomposition from MultitraverseCode2
MemSAM: Taming Segment Anything Model for Echocardiography Video SegmentationCode2
MeViS: A Large-scale Benchmark for Video Segmentation with Motion ExpressionsCode2
Dynamic Snake Convolution based on Topological Geometric Constraints for Tubular Structure SegmentationCode2
EAGLE: Eigen Aggregation Learning for Object-Centric Unsupervised Semantic SegmentationCode2
UNetFormer: A UNet-like Transformer for Efficient Semantic Segmentation of Remote Sensing Urban Scene ImageryCode2
DINO in the Room: Leveraging 2D Foundation Models for 3D SegmentationCode2
DI-MaskDINO: A Joint Object Detection and Instance Segmentation ModelCode2
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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