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Segmentation

Papers

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Showing 10151–10200 of 13072 papers

TitleStatusHype
Unsupervised Video Object Segmentation with Motion-based Bilateral Networks—0
Unsupervised Video Object Segmentation with Joint Hotspot Tracking—0
Unsupervised Video Object Segmentation with Online Adversarial Self-Tuning—0
Unsupervised Video Prediction from a Single Frame by Estimating 3D Dynamic Scene Structure—0
Unsupervised Video Segmentation via Spatio-Temporally Nonlocal Appearance Learning—0
Unsupervised Wasserstein Distance Guided Domain Adaptation for 3D Multi-Domain Liver Segmentation—0
Learning to Discover, Ground and Use Words with Segmental Neural Language Models—0
Unsupervised Word Segmentation from Speech with Attention—0
Unsupervised Word Segmentation in Context—0
Unveiling Incomplete Modality Brain Tumor Segmentation: Leveraging Masked Predicted Auto-Encoder and Divergence Learning—0
Unveiling the Invisible: Reasoning Complex Occlusions Amodally with AURA—0
UOLO - automatic object detection and segmentation in biomedical images—0
Uplifting Range-View-based 3D Semantic Segmentation in Real-Time with Multi-Sensor Fusion—0
UrbanGenAI: Reconstructing Urban Landscapes using Panoptic Segmentation and Diffusion Models—0
Urban GeoBIM construction by integrating semantic LiDAR point clouds with as-designed BIM models—0
UrbanSAM: Learning Invariance-Inspired Adapters for Segment Anything Models in Urban Construction—0
Urban Scene Segmentation with Laser-Constrained CRFs—0
Urban Scene Semantic Segmentation with Low-Cost Coarse Annotation—0
Urban Surface Reconstruction in SAR Tomography by Graph-Cuts—0
URoadNet: Dual Sparse Attentive U-Net for Multiscale Road Network Extraction—0
USAM-Net: A U-Net-based Network for Improved Stereo Correspondence and Scene Depth Estimation using Features from a Pre-trained Image Segmentation network—0
US-Cut: Interactive Algorithm for rapid Detection and Segmentation of Liver Tumors in Ultrasound Acquisitions—0
U-SegNet: Fully Convolutional Neural Network based Automated Brain tissue segmentation Tool—0
Use of Transfer Learning and Wavelet Transform for Breast Cancer Detection—0
Use square root affinity to regress labels in semantic segmentation—0
USE: Universal Segment Embeddings for Open-Vocabulary Image Segmentation—0
Using a Goodness Measurement for Domain Adaptation: A Case Study on Chinese Word Segmentation—0
Using Anatomical Markers for Left Ventricular Segmentation of Long Axis Ultrasound Images—0
Using Context to Improve Word Segmentation—0
Using Contextual Information for Sentence-level Morpheme Segmentation—0
Using depth information and colour space variations for improving outdoor robustness for instance segmentation of cabbage—0
Using Diffusion Priors for Video Amodal Segmentation—0
Using Foundation Models as Pseudo-Label Generators for Pre-Clinical 4D Cardiac CT Segmentation—0
Using GANs to Augment Data for Cloud Image Segmentation Task—0
Using Graph Neural Networks for Program Termination—0
Using Image Priors to Improve Scene Understanding—0
Using Information to Amplify Competition—0
Using Soft Labels to Model Uncertainty in Medical Image Segmentation—0
Using spatial-temporal ensembles of convolutional neural networks for lumen segmentation in ureteroscopy—0
Using super-resolution for enhancing visual perception and segmentation performance in veterinary cytology—0
Using t-distributed stochastic neighbor embedding for visualization and segmentation of 3D point clouds of plants—0
Using the Split Bregman Algorithm to Solve the Self-repelling Snake Model—0
Using U-Net Network for Efficient Brain Tumor Segmentation in MRI Images—0
US-net for robust and efficient nuclei instance segmentation—0
Utilizing Large Scale Vision and Text Datasets for Image Segmentation from Referring Expressions—0
Utilizing Pre-trained and Large Language Models for 10-K Items Segmentation—0
Utilizing Transfer Learning and a Customized Loss Function for Optic Disc Segmentation from Retinal Images—0
Utilizing Uncertainty Estimation in Deep Learning Segmentation of Fluorescence Microscopy Images with Missing Markers—0
UT-Net: Combining U-Net and Transformer for Joint Optic Disc and Cup Segmentation and Glaucoma Detection—0
UVIS: Unsupervised Video Instance Segmentation—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