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Semantic Segmentation

Papers

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Showing 8601–8650 of 14763 papers

TitleStatusHype
Fetal Ultrasound Image Segmentation for Measuring Biometric Parameters Using Multi-Task Deep Learning—0
FE-UNet: Frequency Domain Enhanced U-Net with Segment Anything Capability for Versatile Image Segmentation—0
Few Clicks Suffice: Active Test-Time Adaptation for Semantic Segmentation—0
Fewer is More: Image Segmentation Based Weakly Supervised Object Detection with Partial Aggregation—0
Few Exemplar-Based General Medical Image Segmentation via Domain-Aware Selective Adaptation—0
Few Labeled Atlases are Necessary for Deep-Learning-Based Segmentation—0
Few-shot 3D LiDAR Semantic Segmentation for Autonomous Driving—0
Few-Shot 3D Point Cloud Semantic Segmentation via Stratified Class-Specific Attention Based Transformer Network—0
Few-Shot 3D Volumetric Segmentation with Multi-Surrogate Fusion—0
Few-shot adaptation for morphology-independent cell instance segmentation—0
Few-Shot Adaptation of Training-Free Foundation Model for 3D Medical Image Segmentation—0
Few-shot brain segmentation from weakly labeled data with deep heteroscedastic multi-task networks—0
Few-shot image segmentation for cross-institution male pelvic organs using registration-assisted prototypical learning—0
Few-Shot Learning for Annotation-Efficient Nucleus Instance Segmentation—0
Few-shot Medical Image Segmentation using a Global Correlation Network with Discriminative Embedding—0
Few-shot Medical Image Segmentation with Cycle-resemblance Attention—0
Few-Shot Medical Image Segmentation with Large Kernel Attention—0
Few-Shot Meta-Learning on Point Cloud for Semantic Segmentation—0
Few-shot pixel-precise document layout segmentation via dynamic instance generation and local thresholding—0
Few-Shot Point Cloud Semantic Segmentation via Contrastive Self-Supervision and Multi-Resolution Attention—0
Meta-learning with implicit gradients in a few-shot setting for medical image segmentation—0
Few-shot Segmentation with Optimal Transport Matching and Message Flow—0
Few-shot Semantic Image Synthesis with Class Affinity Transfer—0
Few-shot Semantic Learning for Robust Multi-Biome 3D Semantic Mapping in Off-Road Environments—0
Few Shot Semantic Segmentation: a review of methodologies, benchmarks, and open challenges—0
Few-Shot Semantic Segmentation Augmented with Image-Level Weak Annotations—0
Few-Shot Semantic Segmentation with Democratic Attention Networks—0
Few-Shot Semantic Segmentation With Cyclic Memory Network—0
FFPN: Fourier Feature Pyramid Network for Ultrasound Image Segmentation—0
FG-Depth: Flow-Guided Unsupervised Monocular Depth Estimation—0
FGN: Fully Guided Network for Few-Shot Instance Segmentation—0
FIAS: Feature Imbalance-Aware Medical Image Segmentation with Dynamic Fusion and Mixing Attention—0
FickleNet: Weakly and Semi-supervised Semantic Image Segmentation using Stochastic Inference—0
FIESTA: Fourier-Based Semantic Augmentation with Uncertainty Guidance for Enhanced Domain Generalizability in Medical Image Segmentation—0
FIF-UNet: An Efficient UNet Using Feature Interaction and Fusion for Medical Image Segmentation—0
Filter Design and Performance Evaluation for Fingerprint Image Segmentation—0
Fully Automated 3D Segmentation of MR-Imaged Calf Muscle Compartments: Neighborhood Relationship Enhanced Fully Convolutional Network—0
Financial Table Extraction in Image Documents—0
Finding NeMo: Negative-mined Mosaic Augmentation for Referring Image Segmentation—0
Finding the Most Transferable Tasks for Brain Image Segmentation—0
Find my mug: Efficient object search with a mobile robot using semantic segmentation—0
Find Your Own Way: Weakly-Supervised Segmentation of Path Proposals for Urban Autonomy—0
Fine-grained building roof instance segmentation based on domain adapted pretraining and composite dual-backbone—0
Fine-Grained Crowd Counting—0
Fine-Grained Off-Road Semantic Segmentation and Mapping via Contrastive Learning—0
Fine-grained Recurrent Neural Networks for Automatic Prostate Segmentation in Ultrasound Images—0
Fine-Grained Semantic Segmentation of Motion Capture Data using Dilated Temporal Fully-Convolutional Networks—0
Fine-grained Synthesis of Unrestricted Adversarial Examples—0
Fine-tuning vision foundation model for crack segmentation in civil infrastructures—0
Fine tuning U-Net for ultrasound image segmentation: which layers?—0
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All datasetsADE20KNYU-Depth V2Cityscapes testCityscapes valADE20K valPASCAL ContextS3DIS Area5PASCAL VOC 2012 testS3DISScanNetSUN-RGBDDensePASS

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1InternImage-H (M3I Pre-training)Params (M)1,310—Unverified
2ViT-P (InternImage-H)Validation mIoU63.6—Unverified
3ONE-PEACEValidation mIoU63—Unverified
4M3I Pre-training (InternImage-H)Validation mIoU62.9—Unverified
5InternImage-HValidation mIoU62.9—Unverified
6BEiT-3Validation mIoU62.8—Unverified
7EVAValidation mIoU62.3—Unverified
8ViT-P (OneFormer, InternImage-H)Validation mIoU61.6—Unverified
9ViT-Adapter-L (Mask2Former, BEiTv2 pretrain)Validation mIoU61.5—Unverified
10FD-SwinV2-GValidation mIoU61.4—Unverified