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Segmentation

Papers

Showing 701725 of 13072 papers

TitleStatusHype
Training-Free Condition Video Diffusion Models for single frame Spatial-Semantic Echocardiogram SynthesisCode1
Evaluation of Segment Anything Model 2: The Role of SAM2 in the Underwater EnvironmentCode1
Interactive 3D Medical Image Segmentation with SAM 2Code1
AMAES: Augmented Masked Autoencoder Pretraining on Public Brain MRI Data for 3D-Native SegmentationCode1
WAS: Dataset and Methods for Artistic Text SegmentationCode1
3D-GRES: Generalized 3D Referring Expression SegmentationCode1
Yucca: A Deep Learning Framework For Medical Image AnalysisCode1
DINOv2 Rocks Geological Image Analysis: Classification, Segmentation, and InterpretabilityCode1
Unsupervised Training of Neural Cellular Automata on Edge DevicesCode1
LKCell: Efficient Cell Nuclei Instance Segmentation with Large Convolution KernelsCode1
CSWin-UNet: Transformer UNet with Cross-Shaped Windows for Medical Image SegmentationCode1
Embedding-Free Transformer with Inference Spatial Reduction for Efficient Semantic SegmentationCode1
EffiSegNet: Gastrointestinal Polyp Segmentation through a Pre-Trained EfficientNet-based Network with a Simplified DecoderCode1
Mamba meets crack segmentationCode1
Representing Topological Self-Similarity Using Fractal Feature Maps for Accurate Segmentation of Tubular StructuresCode1
MeshSegmenter: Zero-Shot Mesh Semantic Segmentation via Texture SynthesisCode1
ViLLa: Video Reasoning Segmentation with Large Language ModelCode1
Latent Diffusion for Medical Image Segmentation: End to end learning for fast sampling and accuracyCode1
Progressive Proxy Anchor Propagation for Unsupervised Semantic SegmentationCode1
FastSAM-3DSlicer: A 3D-Slicer Extension for 3D Volumetric Segment Anything Model with Uncertainty QuantificationCode1
Dual-level Adaptive Self-Labeling for Novel Class Discovery in Point Cloud SegmentationCode1
Exploring Deeper! Segment Anything Model with Depth Perception for Camouflaged Object DetectionCode1
SegSTRONG-C: Segmenting Surgical Tools Robustly On Non-adversarial Generated Corruptions -- An EndoVis'24 ChallengeCode1
Stepping Stones: A Progressive Training Strategy for Audio-Visual Semantic SegmentationCode1
Mitigating Background Shift in Class-Incremental Semantic 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