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Segmentation

Papers

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Showing 7051–7100 of 13072 papers

TitleStatusHype
Miss Detection vs. False Alarm: Adversarial Learning for Small Object Segmentation in Infrared Images—0
Looking for Tiny Defects via Forward-Backward Feature Transfer—0
FlowCut: Unsupervised Video Instance Segmentation via Temporal Mask Matching—0
LooseCut: Interactive Image Segmentation with Loosely Bounded Boxes—0
FlowCLAS: Enhancing Normalizing Flow Via Contrastive Learning For Anomaly Segmentation—0
Classification Drives Geographic Bias in Street Scene Segmentation—0
Flow Based Self-supervised Pixel Embedding for Image Segmentation—0
Class Enhancement Losses with Pseudo Labels for Zero-shot Semantic Segmentation—0
Lost in Tracking: Uncertainty-guided Cardiac Cine MRI Segmentation at Right Ventricle Base—0
A Cascaded Residual UNET for Fully Automated Segmentation of Prostate and Peripheral Zone in T2-weighted 3D Fast Spin Echo Images—0
Flip Learning: Weakly Supervised Erase to Segment Nodules in Breast Ultrasound—0
Flip Learning: Erase to Segment—0
Low complexity convolutional neural network for vessel segmentation in portable retinal diagnostic devices—0
Low-cost LIDAR based Vehicle Pose Estimation and Tracking—0
A Random Point Initialization Approach to Image Segmentation with Variational Level-sets—0
Low-Cost Scene Modeling using a Density Function Improves Segmentation Performance—0
FLIC: Fast Linear Iterative Clustering with Active Search—0
Lowis3D: Language-Driven Open-World Instance-Level 3D Scene Understanding—0
Low-Latency Video Semantic Segmentation—0
Low-Rank Continual Pyramid Vision Transformer: Incrementally Segment Whole-Body Organs in CT with Light-Weighted Adaptation—0
Class Balanced PixelNet for Neurological Image Segmentation—0
A Radiomics-Incorporated Deep Ensemble Learning Model for Multi-Parametric MRI-based Glioma Segmentation—0
FlexiCrackNet: A Flexible Pipeline for Enhanced Crack Segmentation with General Features Transfered from SAM—0
D\'efi d'annotation DEGELS2012 : la segmentation (DEGELS2012 annotation challenge: Segmentation) [in French]—0
LPSNet: A Lightweight Solution for Fast Panoptic Segmentation—0
Class-Aware Adversarial Transformers for Medical Image Segmentation—0
LRNNet: A Light-Weighted Network with Efficient Reduced Non-Local Operation for Real-Time Semantic Segmentation—0
LSegDiff: A Latent Diffusion Model for Medical Image Segmentation—0
Flexible Mesh Segmentation via Reeb Graph Representation of Geometrical and Topological Features—0
Flexible Fusion Network for Multi-modal Brain Tumor Segmentation—0
Adversarial Examples for Semantic Image Segmentation—0
L-SNet: from Region Localization to Scale Invariant Medical Image Segmentation—0
MirrorNet: Bio-Inspired Camouflaged Object Segmentation—0
FLDNet: A Foreground-Aware Network for Polyp Segmentation Leveraging Long-Distance Dependencies—0
LSVOS Challenge 3rd Place Report: SAM2 and Cutie based VOS—0
LSVOS Challenge Report: Large-scale Complex and Long Video Object Segmentation—0
Class Attention Network for Semantic Segmentation of Remote Sensing Images—0
FLAIRBrainSeg: Fine-grained brain segmentation using FLAIR MRI only—0
Arabic-Segmentation Combination Strategies for Statistical Machine Translation—0
A cascaded deep network for automated tumor detection and segmentation in clinical PET imaging of diffuse large B-cell lymphoma—0
FixMatchSeg: Fixing FixMatch for Semi-Supervised Semantic Segmentation—0
Fixation Data Analysis for High Resolution Satellite Images—0
FisheyeMultiNet: Real-time Multi-task Learning Architecture for Surround-view Automated Parking System—0
Lumbar Spine Tumor Segmentation and Localization in T2 MRI Images Using AI—0
Class-Agnostic Visio-Temporal Scene Sketch Semantic Segmentation—0
FISBe: A Real-World Benchmark Dataset for Instance Segmentation of Long-Range Thin Filamentous Structures—0
First arrival picking using U-net with Lovasz loss and nearest point picking method—0
Fire Threat Detection From Videos with Q-Rough Sets—0
Firearm Detection via Convolutional Neural Networks: Comparing a Semantic Segmentation Model Against End-to-End Solutions—0
Class Activation Map-based Weakly supervised Hemorrhage Segmentation using Resnet-LSTM in Non-Contrast Computed Tomography images—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