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Segmentation

Papers

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Showing 5876–5900 of 13072 papers

TitleStatusHype
Depth-SIMS: Semi-Parametric Image and Depth Synthesis—0
DepthSeg: Depth prompting in remote sensing semantic segmentation—0
Depth Over RGB: Automatic Evaluation of Open Surgery Skills Using Depth Camera—0
Depth-guided Texture Diffusion for Image Semantic Segmentation—0
AWEU-Net: An Attention-Aware Weight Excitation U-Net for Lung Nodule Segmentation—0
Depth-guided Free-space Segmentation for a Mobile Robot—0
DepthFormer: Multimodal Positional Encodings and Cross-Input Attention for Transformer-Based Segmentation Networks—0
DepthCut: Improved Depth Edge Estimation Using Multiple Unreliable Channels—0
A multi view multi stage and multi window framework for pulmonary artery segmentation from CT scans—0
3DTI-Net: Learn Inner Transform Invariant 3D Geometry Features using Dynamic GCN—0
Depth-Aware Mirror Segmentation—0
A Weakly Supervised Segmentation Network Embedding Cross-scale Attention Guidance and Noise-sensitive Constraint for Detecting Tertiary Lymphoid Structures of Pancreatic Tumors—0
A Multi-View Dynamic Fusion Framework: How to Improve the Multimodal Brain Tumor Segmentation from Multi-Views?—0
Depth-Adapted CNNs for RGB-D Semantic Segmentation—0
DeNVeR: Deformable Neural Vessel Representations for Unsupervised Video Vessel Segmentation—0
Density-Based Clustering for 3D Object Detection in Point Clouds—0
A weakly supervised registration-based framework for prostate segmentation via the combination of statistical shape model and CNN—0
A multi-task U-net for segmentation with lazy labels—0
Densify Your Labels: Unsupervised Clustering with Bipartite Matching for Weakly Supervised Point Cloud Segmentation—0
A Waste Copper Granules Rating System Based on Machine Vision—0
Dense Supervision Propagation for Weakly Supervised Semantic Segmentation on 3D Point Clouds—0
Dense Self-Supervised Learning for Medical Image Segmentation—0
Learning to segment microscopy images with lazy labels—0
Dense Segmentation-Aware Descriptors—0
Dense Regression Activation Maps For Lesion Segmentation in CT scans of COVID-19 patients—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