SOTAVerified

Segmentation

Papers

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Showing 4701–4750 of 13072 papers

TitleStatusHype
Towards Diverse Binary Segmentation via A Simple yet General Gated NetworkCode2
Uncertainty-informed Mutual Learning for Joint Medical Image Classification and SegmentationCode1
Revisiting Image Reconstruction for Semi-supervised Semantic Segmentation—0
Unified Mask Embedding and Correspondence Learning for Self-Supervised Video SegmentationCode0
Prototype Knowledge Distillation for Medical Segmentation with Missing ModalityCode1
Remote Task-oriented Grasp Area Teaching By Non-Experts through Interactive Segmentation and Few-Shot LearningCode0
MedNeXt: Transformer-driven Scaling of ConvNets for Medical Image SegmentationCode2
DUDES: Deep Uncertainty Distillation using Ensembles for Semantic Segmentation—0
GDDS: Pulmonary Bronchioles Segmentation with Group Deep Dense Supervision—0
Global Knowledge Calibration for Fast Open-Vocabulary SegmentationCode1
SwinVFTR: A Novel Volumetric Feature-learning Transformer for 3D OCT Fluid SegmentationCode0
MATIS: Masked-Attention Transformers for Surgical Instrument SegmentationCode1
MAPSeg: Unified Unsupervised Domain Adaptation for Heterogeneous Medical Image Segmentation Based on 3D Masked Autoencoding and Pseudo-LabelingCode1
PENet: A Joint Panoptic Edge Detection NetworkCode0
SegPrompt: Using Segmentation Map as a Better Prompt to Finetune Deep Models for Kidney Stone Classification—0
Stochastic Segmentation with Conditional Categorical Diffusion ModelsCode1
Panoptic One-Click Segmentation: Applied to Agricultural Data—0
Reversing the Abnormal: Pseudo-Healthy Generative Networks for Anomaly Detection—0
SpiderMesh: Spatial-aware Demand-guided Recursive Meshing for RGB-T Semantic SegmentationCode0
Lung Nodule Segmentation and Uncertain Region Prediction with an Uncertainty-Aware Attention MechanismCode1
FastInst: A Simple Query-Based Model for Real-Time Instance SegmentationCode2
MSeg3D: Multi-modal 3D Semantic Segmentation for Autonomous DrivingCode1
Implicit Ray-Transformers for Multi-view Remote Sensing Image Segmentation—0
SIM: Semantic-aware Instance Mask Generation for Box-Supervised Instance SegmentationCode1
DynaMask: Dynamic Mask Selection for Instance SegmentationCode1
Exploring Weakly Supervised Semantic Segmentation Ensembles for Medical Imaging SystemsCode0
ISLE: A Framework for Image Level Semantic Segmentation EnsembleCode0
MS-TCRNet: Multi-Stage Temporal Convolutional Recurrent Networks for Action Segmentation Using Sensor-Augmented KinematicsCode0
HALOS: Hallucination-free Organ Segmentation after Organ Resection SurgeryCode0
InstMove: Instance Motion for Object-centric Video SegmentationCode2
A Simple Framework for Open-Vocabulary Segmentation and DetectionCode3
SILOP: An Automated Framework for Semantic Segmentation Using Image Labels Based on Object PerimetersCode0
Class-level Multiple Distributions Representation are Necessary for Semantic Segmentation—0
LoG-CAN: local-global Class-aware Network for semantic segmentation of remote sensing images—0
ReFit: A Framework for Refinement of Weakly Supervised Semantic Segmentation using Object Border Fitting for Medical ImagesCode0
SuperMask: Generating High-resolution object masks from multi-view, unaligned low-resolution MRIs—0
TransNetR: Transformer-based Residual Network for Polyp Segmentation with Multi-Center Out-of-Distribution TestingCode1
MP-Former: Mask-Piloted Transformer for Image SegmentationCode1
An automated pipeline to create an atlas of in situ hybridization gene expression data in the adult marmoset brainCode0
Pixel-wise Gradient Uncertainty for Convolutional Neural Networks applied to Out-of-Distribution SegmentationCode0
Guiding the Guidance: A Comparative Analysis of User Guidance Signals for Interactive Segmentation of Volumetric Images—0
One-Shot Segmentation of Novel White Matter Tracts via Extensive Data AugmentationCode0
Object-Centric Multi-Task Learning for Human Instances—0
OSIS: Efficient One-stage Network for 3D Instance Segmentation—0
SCPNet: Semantic Scene Completion on Point CloudCode1
Efficient Semantic Segmentation by Altering Resolutions for Compressed VideosCode1
Towards Universal Vision-language Omni-supervised Segmentation—0
Spatial Correspondence between Graph Neural Network-Segmented Images—0
Ensemble Learning of Myocardial Displacements for Myocardial Infarction Detection in EchocardiographyCode0
Token Sparsification for Faster Medical Image SegmentationCode0
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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