SOTAVerified

Segmentation

Papers

Showing 53515375 of 13072 papers

TitleStatusHype
Novel class discovery meets foundation models for 3D semantic segmentation0
Synchronization is All You Need: Exocentric-to-Egocentric Transfer for Temporal Action Segmentation with Unlabeled Synchronized Video PairsCode0
Inspecting Model Fairness in Ultrasound Segmentation Tasks0
Graph Information Bottleneck for Remote Sensing Segmentation0
Lung Cancer Detection from CT Scan Images based on Genetic-Independent Recurrent Deep Learning0
Instance-guided Cartoon Editing with a Large-scale Dataset0
ResEnsemble-DDPM: Residual Denoising Diffusion Probabilistic Models for Ensemble Learning0
Contrastive Learning-Based Spectral Knowledge Distillation for Multi-Modality and Missing Modality Scenarios in Semantic Segmentation0
SRSNetwork: Siamese Reconstruction-Segmentation Networks based on Dynamic-Parameter ConvolutionCode0
Towards an accurate and generalizable multiple sclerosis lesion segmentation model using self-ensembled lesion fusion0
G2D: From Global to Dense Radiography Representation Learning via Vision-Language Pre-trainingCode0
A Review and A Robust Framework of Data-Efficient 3D Scene Parsing with Traditional/Learned 3D Descriptors0
SANeRF-HQ: Segment Anything for NeRF in High Quality0
TranSegPGD: Improving Transferability of Adversarial Examples on Semantic Segmentation0
Motion Informed Needle Segmentation in Ultrasound Images0
Has Anything Changed? 3D Change Detection by 2D Segmentation Masks0
Segment Anything Model-guided Collaborative Learning Network for Scribble-supervised Polyp Segmentation0
A Recent Survey of Vision Transformers for Medical Image Segmentation0
Segment Any 3D Gaussians0
CellMixer: Annotation-free Semantic Cell Segmentation of Heterogeneous Cell Populations0
Semi-supervised Semantic Segmentation via Boosting Uncertainty on Unlabeled Data0
A Lightweight Clustering Framework for Unsupervised Semantic Segmentation0
Learning Part Segmentation from Synthetic Animals0
A Survey on Deep Learning for Polyp Segmentation: Techniques, Challenges and Future TrendsCode0
Accurate Segmentation of Optic Disc And Cup from Multiple Pseudo-labels by Noise-aware LearningCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1unSAM+ (Semi-supervised)Average Precision42.8Unverified
2SAMAverage Precision38.9Unverified
#ModelMetricClaimedVerifiedStatus
1HNN10%20Unverified
#ModelMetricClaimedVerifiedStatus
1ABANetF1 Score96.82Unverified
#ModelMetricClaimedVerifiedStatus
1ResNet50 + DeepLabV3+F1 score0.77Unverified
#ModelMetricClaimedVerifiedStatus
1LangGasIoU0.69Unverified