SOTAVerified

Segmentation

Papers

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Showing 6326–6350 of 13072 papers

TitleStatusHype
One-shot and Partially-Supervised Cell Image Segmentation Using Small Visual PromptCode0
JoB-VS: Joint Brain-Vessel Segmentation in TOF-MRA ImagesCode0
GeoMultiTaskNet: remote sensing unsupervised domain adaptation using geographical coordinatesCode0
The Segment Anything foundation model achieves favorable brain tumor autosegmentation accuracy on MRI to support radiotherapy treatment planning—0
ALiSNet: Accurate and Lightweight Human Segmentation Network for Fashion E-Commerce—0
Region-Enhanced Feature Learning for Scene Semantic Segmentation—0
CROVIA: Seeing Drone Scenes from Car Perspective via Cross-View Adaptation—0
Tailored Multi-Organ Segmentation with Model Adaptation and Ensemble—0
CoMaL: Conditional Maximum Likelihood Approach to Self-supervised Domain Adaptation in Long-tail Semantic Segmentation—0
MVP-SEG: Multi-View Prompt Learning for Open-Vocabulary Semantic Segmentation—0
DynaMITe: Dynamic Query Bootstrapping for Multi-object Interactive Segmentation Transformer—0
Deep learning based ECG segmentation for delineation of diverse arrhythmias—0
DeepSegmenter: Temporal Action Localization for Detecting Anomalies in Untrimmed Naturalistic Driving VideosCode0
iResSENet: An Accurate Convolutional Neural Network for Retinal Blood Vessel SegmentationCode0
[CLS] Token is All You Need for Zero-Shot Semantic Segmentation—0
STU-Net: Scalable and Transferable Medical Image Segmentation Models Empowered by Large-Scale Supervised Pre-trainingCode0
Tracking by 3D Model Estimation of Unknown Objects in Videos—0
DUFormer: Solving Power Line Detection Task in Aerial Images using Semantic Segmentation—0
Neural Field Conditioning Strategies for 2D Semantic Segmentation—0
MED-VT++: Unifying Multimodal Learning with a Multiscale Encoder-Decoder Video Transformer—0
Few Shot Semantic Segmentation: a review of methodologies, benchmarks, and open challenges—0
SuperpixelGraph: Semi-automatic generation of building footprint through semantic-sensitive superpixel and neural graph networks—0
Weakly Supervised Intracranial Hemorrhage Segmentation using Head-Wise Gradient-Infused Self-Attention Maps from a Swin Transformer in Categorical LearningCode0
SATR: Zero-Shot Semantic Segmentation of 3D Shapes—0
Block Attention and Switchable Normalization Based Deep Learning Framework for Segmentation of Retinal VesselsCode0
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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