SOTAVerified

Segmentation

Papers

Showing 20512075 of 13072 papers

TitleStatusHype
Co-segmentation Inspired Attention Module for Video-based Computer Vision TasksCode1
Deep-learning in the bioimaging wild: Handling ambiguous data with deepflash2Code1
Dense Unsupervised Learning for Video SegmentationCode1
The Emergence of Objectness: Learning Zero-Shot Segmentation from VideosCode1
DR-VNet: Retinal Vessel Segmentation via Dense Residual UNetCode1
Mixed Transformer U-Net For Medical Image SegmentationCode1
Multimodal PET/CT Tumour Segmentation and Prediction of Progression-Free Survival using a Full-Scale UNet with AttentionCode1
Segmentation of 2D Brain MR ImagesCode1
EditGAN: High-Precision Semantic Image EditingCode1
Partial supervision for the FeTA challenge 2021Code1
WORD: A large scale dataset, benchmark and clinical applicable study for abdominal organ segmentation from CT imageCode1
Panoptic 3D Scene Reconstruction From a Single RGB ImageCode1
Exploring the Semi-supervised Video Object Segmentation Problem from a Cyclic PerspectiveCode1
PolyTrack: Tracking with Bounding PolygonsCode1
Multi-Scale High-Resolution Vision Transformer for Semantic SegmentationCode1
PointNu-Net: Keypoint-assisted Convolutional Neural Network for Simultaneous Multi-tissue Histology Nuclei Segmentation and ClassificationCode1
M2MRF: Many-to-Many Reassembly of Features for Tiny Lesion Segmentation in Fundus ImagesCode1
Contrastive prediction strategies for unsupervised segmentation and categorization of phonemes and wordsCode1
Whole Brain Segmentation with Full Volume Neural NetworkCode1
BI-GCN: Boundary-Aware Input-Dependent Graph Convolution Network for Biomedical Image SegmentationCode1
ClaSP - Time Series SegmentationCode1
Generalized Multi-Task Learning from Substantially Unlabeled Multi-Source Medical Image DataCode1
Anatomical and Diagnostic Bayesian Segmentation in Prostate MRI -Should Different Clinical Objectives Mandate Different Loss Functions?Code1
Rotation Equivariant Deforestation Segmentation and Driver ClassificationCode1
AuxAdapt: Stable and Efficient Test-Time Adaptation for Temporally Consistent Video Semantic SegmentationCode1
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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