SOTAVerified

Segmentation

Papers

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Showing 6326–6350 of 13072 papers

TitleStatusHype
Automatic Brain Tumor Segmentation using Convolutional Neural Networks with Test-Time Augmentation—0
ALiSNet: Accurate and Lightweight Human Segmentation Network for Fashion E-Commerce—0
Acoustic Data-Driven Subword Modeling for End-to-End Speech Recognition—0
Decompose-and-Integrate Learning for Multi-class Segmentation in Medical Images—0
Decoders Matter for Semantic Segmentation: Data-Dependent Decoding Enables Flexible Feature Aggregation—0
Automatic Brain Tumor Detection and Segmentation Using U-Net Based Fully Convolutional Networks—0
Decentralized Differentially Private Segmentation with PATE—0
Automatic brain tissue segmentation in fetal MRI using convolutional neural networks—0
Dealing with training and test segmentation mismatch: FBK@IWSLT2021—0
Automatic Brain Structures Segmentation Using Deep Residual Dilated U-Net—0
DDU-Nets: Distributed Dense Model for 3D MRI Brain Tumor Segmentation—0
Automatic Annotation of Axoplasmic Reticula in Pursuit of Connectomes using High-Resolution Neural EM Data—0
A Linear Approximation to the chi^2 Kernel with Geometric Convergence—0
A Convolutional Neural Network for Point Cloud Instance Segmentation in Cluttered Scene Trained by Synthetic Data Without Color—0
Automatic Animation of Hair Blowing in Still Portrait Photos—0
DDOS: The Drone Depth and Obstacle Segmentation Dataset—0
Automatic and Manual Segmentation of Hippocampus in Epileptic Patients MRI—0
AlignZeg: Mitigating Objective Misalignment for Zero-shot Semantic Segmentation—0
DDNet: Cartesian-polar Dual-domain Network for the Joint Optic Disc and Cup Segmentation—0
DC-TTA: Divide-and-Conquer Framework for Test-Time Adaptation of Interactive Segmentation—0
Automatically Tailoring Unsupervised Morphological Segmentation to the Language—0
A Contrast Synthesized Thalamic Nuclei Segmentation Scheme using Convolutional Neural Networks—0
DCANet: Dense Context-Aware Network for Semantic Segmentation—0
Automatically Segmenting the Left Atrium from Cardiac Images Using Successive 3D U-Nets and a Contour Loss—0
DCAN: Dual Channel-wise Alignment Networks for Unsupervised Scene Adaptation—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