SOTAVerified

Segmentation

Papers

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Showing 3601–3625 of 13072 papers

TitleStatusHype
DepthFormer: Multimodal Positional Encodings and Cross-Input Attention for Transformer-Based Segmentation Networks—0
Depth-guided Free-space Segmentation for a Mobile Robot—0
Depth-guided Texture Diffusion for Image Semantic Segmentation—0
Depth Over RGB: Automatic Evaluation of Open Surgery Skills Using Depth Camera—0
Deep PET/CT fusion with Dempster-Shafer theory for lymphoma segmentation—0
Depth-SIMS: Semi-Parametric Image and Depth Synthesis—0
Encoder-decoder semantic segmentation models for electroluminescence images of thin-film photovoltaic modules—0
Deep Patch-based Human Segmentation—0
DeepOrgan: Multi-level Deep Convolutional Networks for Automated Pancreas Segmentation—0
Encoding feature supervised UNet++: Redesigning Supervision for liver and tumor segmentation—0
Descriptor-Free Multi-View Region Matching for Instance-Wise 3D Reconstruction—0
Deshadow-Anything: When Segment Anything Model Meets Zero-shot shadow removal—0
A Multilayer-Based Framework for Online Background Subtraction with Freely Moving Cameras—0
Design of Real-time Semantic Segmentation Decoder for Automated Driving—0
Evolutionary Neural Architecture Search for Retinal Vessel Segmentation—0
Deep Neural Patchworks: Coping with Large Segmentation Tasks—0
Deep Neural Networks With Region-Based Pooling Structures for Mammographic Image Classification—0
Automatic size and pose homogenization with spatial transformer network to improve and accelerate pediatric segmentation—0
Endo-Sim2Real: Consistency learning-based domain adaptation for instrument segmentation—0
DetectFusion: Detecting and Segmenting Both Known and Unknown Dynamic Objects in Real-time SLAM—0
Deep Neural Networks Learn Meta-Structures from Noisy Labels in Semantic Segmentation—0
Detecting and Segmenting Adversarial Graphics Patterns from Images—0
Deep Neural Networks for Automatic Grain-matrix Segmentation in Plane and Cross-polarized Sandstone Photomicrographs—0
Background Noise Reduction of Attention Map for Weakly Supervised Semantic Segmentation—0
Automatic semantic segmentation for prediction of tuberculosis using lens-free microscopy images—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