SOTAVerified

Segmentation

Papers

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Showing 4501–4550 of 13072 papers

TitleStatusHype
Robust thalamic nuclei segmentation from T1-weighted MRICode1
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
CROVIA: Seeing Drone Scenes from Car Perspective via Cross-View Adaptation—0
TUM-FAÇADE: Reviewing and enriching point cloud benchmarks for façade segmentationCode1
Tailored Multi-Organ Segmentation with Model Adaptation and Ensemble—0
Swin3D: A Pretrained Transformer Backbone for 3D Indoor Scene UnderstandingCode2
Segment Everything Everywhere All at OnceCode1
iResSENet: An Accurate Convolutional Neural Network for Retinal Blood Vessel SegmentationCode0
DeepSegmenter: Temporal Action Localization for Detecting Anomalies in Untrimmed Naturalistic Driving VideosCode0
Boosting Video Object Segmentation via Space-time Correspondence LearningCode1
DynaMITe: Dynamic Query Bootstrapping for Multi-object Interactive Segmentation Transformer—0
Deep learning based ECG segmentation for delineation of diverse arrhythmias—0
Leveraging triplet loss for unsupervised action segmentationCode1
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
[CLS] Token is All You Need for Zero-Shot Semantic Segmentation—0
Improving Segmentation of Objects with Varying Sizes in Biomedical Images using Instance-wise and Center-of-Instance Segmentation Loss FunctionCode1
Neural Field Conditioning Strategies for 2D Semantic Segmentation—0
UniverSeg: Universal Medical Image SegmentationCode2
SuperpixelGraph: Semi-automatic generation of building footprint through semantic-sensitive superpixel and neural graph networks—0
DUFormer: Solving Power Line Detection Task in Aerial Images using Semantic Segmentation—0
Segment Anything Is Not Always Perfect: An Investigation of SAM on Different Real-world ApplicationsCode1
Automated computed tomography and magnetic resonance imaging segmentation using deep learning: a beginner's guideCode1
Unifying and Personalizing Weakly-supervised Federated Medical Image Segmentation via Adaptive Representation and AggregationCode2
MED-VT++: Unifying Multimodal Learning with a Multiscale Encoder-Decoder Video Transformer—0
A Closer Look at the Explainability of Contrastive Language-Image Pre-trainingCode1
SAMM (Segment Any Medical Model): A 3D Slicer Integration to SAMCode2
Few Shot Semantic Segmentation: a review of methodologies, benchmarks, and open challenges—0
Mask-conditioned latent diffusion for generating gastrointestinal polyp imagesCode1
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
Utilizing Neural Networks for Semantic Segmentation on RGB/LiDAR Fused Data for Off-road Autonomous Military Vehicle PerceptionCode0
Semantic Segmentation with High Inference Speed in Off-Road EnvironmentsCode0
Prompt Pre-Training with Twenty-Thousand Classes for Open-Vocabulary Visual RecognitionCode2
Block Attention and Switchable Normalization Based Deep Learning Framework for Segmentation of Retinal VesselsCode0
SAM.MD: Zero-shot medical image segmentation capabilities of the Segment Anything Model—0
Self-training with dual uncertainty for semi-supervised medical image segmentation—0
Video-kMaX: A Simple Unified Approach for Online and Near-Online Video Panoptic Segmentation—0
BerDiff: Conditional Bernoulli Diffusion Model for Medical Image SegmentationCode1
HST-MRF: Heterogeneous Swin Transformer with Multi-Receptive Field for Medical Image Segmentation—0
Federated Incremental Semantic SegmentationCode1
Ambiguous Medical Image Segmentation using Diffusion ModelsCode2
Instance Neural Radiance FieldCode1
Localise to segment: crop to improve organ at risk segmentation accuracyCode0
Scale-Equivariant UNet for Histopathology Image Segmentation—0
Are Visual Recognition Models Robust to Image Compression?—0
Reconstruction-driven Dynamic Refinement based Unsupervised Domain Adaptation for Joint Optic Disc and Cup Segmentation—0
Can SAM Segment Anything? When SAM Meets Camouflaged Object DetectionCode1
Split, Merge, and Refine: Fitting Tight Bounding Boxes via Over-Segmentation and Iterative Search—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