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Semantic Segmentation

Papers

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Showing 11151–11200 of 14763 papers

TitleStatusHype
Switched auxiliary loss for robust training of transformer models for histopathological image segmentation—0
SX-Stitch: An Efficient VMS-UNet Based Framework for Intraoperative Scoliosis X-Ray Image Stitching—0
SydneyScapes: Image Segmentation for Australian Environments—0
Symbolic Semantic Segmentation and Interpretation of COVID-19 Lung Infections in Chest CT volumes based on Emergent Languages—0
Symmetrical Flow Matching: Unified Image Generation, Segmentation, and Classification with Score-Based Generative Models—0
Symmetric masking strategy enhances the performance of Masked Image Modeling—0
Symmetry-invariant optimization in deep networks—0
SymmSLIC: Symmetry Aware Superpixel Segmentation and its Applications—0
Synchronizing Vision and Language: Bidirectional Token-Masking AutoEncoder for Referring Image Segmentation—0
Synchronous Image-Label Diffusion Probability Model with Application to Stroke Lesion Segmentation on Non-contrast CT—0
SynDiff-AD: Improving Semantic Segmentation and End-to-End Autonomous Driving with Synthetic Data from Latent Diffusion Models—0
SynDistNet: Self-Supervised Monocular Fisheye Camera Distance Estimation Synergized with Semantic Segmentation for Autonomous Driving—0
Synergy Between Semantic Segmentation and Image Denoising via Alternate Boosting—0
Synergy-Guided Regional Supervision of Pseudo Labels for Semi-Supervised Medical Image Segmentation—0
SynergyNet: Bridging the Gap between Discrete and Continuous Representations for Precise Medical Image Segmentation—0
Syn-Mediverse: A Multimodal Synthetic Dataset for Intelligent Scene Understanding of Healthcare Facilities—0
SynNet: Structure-Preserving Fully Convolutional Networks for Medical Image Synthesis—0
SynthCam3D: Semantic Understanding With Synthetic Indoor Scenes—0
Generative Synthetic Augmentation using Label-to-Image Translation for Nuclei Image Segmentation—0
Synthetic Convolutional Features for Improved Semantic Segmentation—0
Synthetic data enables faster annotation and robust segmentation for multi-object grasping in clutter—0
Synthetic Data for Deep Learning—0
Synthetic Data for Semantic Image Segmentation of Imagery of Unmanned Spacecraft—0
Synthetic Data Generation and Deep Learning for the Topological Analysis of 3D Data—0
Synthetic Data Generation for Bridging Sim2Real Gap in a Production Environment—0
Synthetic Image Data for Deep Learning—0
Synthetic outlier generation for anomaly detection in autonomous driving—0
Synthetic Poisoning Attacks: The Impact of Poisoned MRI Image on U-Net Brain Tumor Segmentation—0
Synthetic-to-real Composite Semantic Segmentation in Additive Manufacturing—0
Synthetic-to-Real Domain Generalized Semantic Segmentation for 3D Indoor Point Clouds—0
SynthFM: Training Modality-agnostic Foundation Models for Medical Image Segmentation without Real Medical Data—0
UDA4Inst: Unsupervised Domain Adaptation for Instance Segmentation—0
SysNoise: Exploring and Benchmarking Training-Deployment System Inconsistency—0
Systematic Clinical Evaluation of A Deep Learning Method for Medical Image Segmentation: Radiosurgery Application—0
Systematic review of image segmentation using complex networks—0
T3D: Advancing 3D Medical Vision-Language Pre-training by Learning Multi-View Visual Consistency—0
Tabletop Transparent Scene Reconstruction via Epipolar-Guided Optical Flow with Monocular Depth Completion Prior—0
TACTIC: Joint Rate-Distortion-Accuracy Optimisation for Low Bitrate Compression—0
Tag-Based Attention Guided Bottom-Up Approach for Video Instance Segmentation—0
TAGS: 3D Tumor-Adaptive Guidance for SAM—0
Taming Mambas for Voxel Level 3D Medical Image Segmentation—0
TA-Net: Topology-Aware Network for Gland Segmentation—0
Tangles and Hierarchical Clustering—0
Target-aware Bi-Transformer for Few-shot Segmentation—0
Target-Aware Object Discovery and Association for Unsupervised Video Multi-Object Segmentation—0
TASeg: Text-aware RGB-T Semantic Segmentation based on Fine-tuning Vision Foundation Models—0
Task-Adaptive Feature Transformer for Few-Shot Segmentation—0
Task-Adaptive Feature Transformer with Semantic Enrichment for Few-Shot Segmentation—0
PatchZero: Defending against Adversarial Patch Attacks by Detecting and Zeroing the Patch—0
Task-Aware Low-Rank Adaptation of Segment Anything Model—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
4InternImage-HValidation mIoU62.9—Unverified
5M3I Pre-training (InternImage-H)Validation 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