SOTAVerified

Segmentation

Papers

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Showing 9401–9450 of 13072 papers

TitleStatusHype
Sci-Net: Scale Invariant Model for Buildings Segmentation from Aerial Imagery—0
SCNet: A Generalized Attention-based Model for Crack Fault Segmentation—0
SCNet: Enhancing Few-Shot Semantic Segmentation by Self-Contrastive Background Prototypes—0
SCOPE: Structural Continuity Preservation for Medical Image Segmentation—0
Score-Based Generative Models for Medical Image Segmentation using Signed Distance Functions—0
Scoring Root Necrosis in Cassava Using Semantic Segmentation—0
SCPMan: Shape Context and Prior Constrained Multi-scale Attention Network for Pancreatic Segmentation—0
Screen Content Image Segmentation Using Sparse-Smooth Decomposition—0
Screen Content Image Segmentation Using Least Absolute Deviation Fitting—0
Screener: Self-supervised Pathology Segmentation Model for 3D Medical Images—0
Scribble-based 3D Multiple Abdominal Organ Segmentation via Triple-branch Multi-dilated Network with Pixel- and Class-wise Consistency—0
Scribble-based Hierarchical Weakly Supervised Learning for Brain Tumor Segmentation—0
ScribbleBox: Interactive Annotation Framework for Video Object Segmentation—0
ScribbleSeg: Scribble-based Interactive Image Segmentation—0
Scribble-Supervised Medical Image Segmentation via Dual-Branch Network and Dynamically Mixed Pseudo Labels Supervision—0
Scribble-Supervised Semantic Segmentation Inference—0
Scribble-Supervised Semantic Segmentation by Uncertainty Reduction on Neural Representation and Self-Supervision on Neural Eigenspace—0
ScribbleSup: Scribble-Supervised Convolutional Networks for Semantic Segmentation—0
Superpoint-guided Semi-supervised Semantic Segmentation of 3D Point Clouds—0
SDC-UDA: Volumetric Unsupervised Domain Adaptation Framework for Slice-Direction Continuous Cross-Modality Medical Image Segmentation—0
SDF4CHD: Generative Modeling of Cardiac Anatomies with Congenital Heart Defects—0
SDOD:Real-time Segmenting and Detecting 3D Object by Depth—0
SeaLion: Semantic Part-Aware Latent Point Diffusion Models for 3D Generation—0
Search3D: Hierarchical Open-Vocabulary 3D Segmentation—0
Searching for Efficient Architecture for Instrument Segmentation in Robotic Surgery—0
Searching for Efficient Multi-Scale Architectures for Dense Image Prediction—0
Searching Learning Strategy with Reinforcement Learning for 3D Medical Image Segmentation—0
SeATrans: Learning Segmentation-Assisted diagnosis model via Transformer—0
SeaTurtleID2022: A long-span dataset for reliable sea turtle re-identification—0
SeaTurtleID2022: A long-span dataset for reliable sea turtle re-identification—0
SeC: Advancing Complex Video Object Segmentation via Progressive Concept Construction—0
Second-Order Constrained Parametric Proposals and Sequential Search-Based Structured Prediction for Semantic Segmentation in RGB-D Images—0
SECP-Net: SE-Connection Pyramid Network of Organ At Risk Segmentation for Nasopharyngeal Carcinoma—0
Secrets of GrabCut and Kernel K-Means—0
Secure 3D medical Imaging—0
SED-MVS: Segmentation-Driven and Edge-Aligned Deformation Multi-View Stereo with Depth Restoration and Occlusion Constraint—0
See Clearer at Night: Towards Robust Nighttime Semantic Segmentation through Day-Night Image Conversion—0
Seeded Laplaican: An Eigenfunction Solution for Scribble Based Interactive Image Segmentation—0
SeedNet: Automatic Seed Generation With Deep Reinforcement Learning for Robust Interactive Segmentation—0
Seeing Behind Things: Extending Semantic Segmentation to Occluded Regions—0
Seeing Beyond the Patch: Scale-Adaptive Semantic Segmentation of High-resolution Remote Sensing Imagery based on Reinforcement Learning—0
SeeThroughNet: Resurrection of Auxiliary Loss by Preserving Class Probability Information—0
See-Through-Text Grouping for Referring Image Segmentation—0
Seg4Reg+: Consistency Learning between Spine Segmentation and Cobb Angle Regression—0
SegAttnGAN: Text to Image Generation with Segmentation Attention—0
Seg-CycleGAN : SAR-to-optical image translation guided by a downstream task—0
segDeepM: Exploiting Segmentation and Context in Deep Neural Networks for Object Detection—0
SegDenseNet: Iris Segmentation for Pre and Post Cataract Surgery—0
SegEQA: Video Segmentation Based Visual Attention for Embodied Question Answering—0
SegET: Deep Neural Network with Rich Contextual Features for Cellular Structures Segmentation in Electron Tomography Image—0
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All datasetsSA-1B.MFSDMMFloodSimGas

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1unSAM+ (Semi-supervised)Average Precision42.8—Unverified
2SAMAverage Precision38.9—Unverified
#ModelMetricClaimedVerifiedStatus
1HNN10%20—Unverified
#ModelMetricClaimedVerifiedStatus
1ABANetF1 Score96.82—Unverified
#ModelMetricClaimedVerifiedStatus
1ResNet50 + DeepLabV3+F1 score0.77—Unverified
#ModelMetricClaimedVerifiedStatus
1LangGasIoU0.69—Unverified