SOTAVerified

Segmentation

Papers

Showing 12511275 of 13072 papers

TitleStatusHype
Learnable Weight Initialization for Volumetric Medical Image SegmentationCode1
TomoSAM: a 3D Slicer extension using SAM for tomography segmentationCode1
PSSTRNet: Progressive Segmentation-guided Scene Text Removal NetworkCode1
BPKD: Boundary Privileged Knowledge Distillation For Semantic SegmentationCode1
Compositor: Bottom-up Clustering and Compositing for Robust Part and Object SegmentationCode1
AerialFormer: Multi-resolution Transformer for Aerial Image SegmentationCode1
PVPUFormer: Probabilistic Visual Prompt Unified Transformer for Interactive Image SegmentationCode1
Topology-Aware Uncertainty for Image SegmentationCode1
Neighborhood Attention Makes the Encoder of ResUNet Stronger for Accurate Road ExtractionCode1
R-MAE: Regions Meet Masked AutoencodersCode1
Devil is in Channels: Contrastive Single Domain Generalization for Medical Image SegmentationCode1
Channel prior convolutional attention for medical image segmentationCode1
TEC-Net: Vision Transformer Embrace Convolutional Neural Networks for Medical Image SegmentationCode1
PhenoBench -- A Large Dataset and Benchmarks for Semantic Image Interpretation in the Agricultural DomainCode1
FoSp: Focus and Separation Network for Early Smoke SegmentationCode1
1st Place Solution for PVUW Challenge 2023: Video Panoptic SegmentationCode1
CorrMatch: Label Propagation via Correlation Matching for Semi-Supervised Semantic SegmentationCode1
Conditional Diffusion Models for Weakly Supervised Medical Image SegmentationCode1
CiT-Net: Convolutional Neural Networks Hand in Hand with Vision Transformers for Medical Image SegmentationCode1
Accurate Fine-Grained Segmentation of Human Anatomy in Radiographs via Volumetric Pseudo-LabelingCode1
DVIS: Decoupled Video Instance Segmentation FrameworkCode1
DFormer: Diffusion-guided Transformer for Universal Image SegmentationCode1
Instructive Feature Enhancement for Dichotomous Medical Image SegmentationCode1
Cyclic Learning: Bridging Image-level Labels and Nuclei Instance SegmentationCode1
Brain tumor segmentation using synthetic MR images -- A comparison of GANs and diffusion modelsCode1
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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