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Semantic Segmentation

Papers

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Showing 10901–10950 of 14763 papers

TitleStatusHype
Segmenting Wood Rot using Computer Vision Models—0
Segment-Phrase Table for Semantic Segmentation, Visual Entailment and Paraphrasing—0
Segment Together: A Versatile Paradigm for Semi-Supervised Medical Image Segmentation—0
Segment Using Just One Example—0
SegMix: Co-occurrence Driven Mixup for Semantic Segmentation and Adversarial Robustness—0
SegNAS3D: Network Architecture Search with Derivative-Free Global Optimization for 3D Image Segmentation—0
SegNetr: Rethinking the local-global interactions and skip connections in U-shaped networks—0
SegPoint: Segment Any Point Cloud via Large Language Model—0
SegSALSA-STR: A convex formulation to supervised hyperspectral image segmentation using hidden fields and structure tensor regularization—0
SEG-SAM: Semantic-Guided SAM for Unified Medical Image Segmentation—0
SegStereo: Exploiting Semantic Information for Disparity Estimation—0
SegTAD: Precise Temporal Action Detection via Semantic Segmentation—0
SegTHOR: Segmentation of Thoracic Organs at Risk in CT images—0
SegViz: A federated-learning based framework for multi-organ segmentation on heterogeneous data sets with partial annotations—0
SegVoxelNet: Exploring Semantic Context and Depth-aware Features for 3D Vehicle Detection from Point Cloud—0
SegXAL: Explainable Active Learning for Semantic Segmentation in Driving Scene Scenarios—0
Attention-Based 3D Seismic Fault Segmentation Training by a Few 2D Slice Labels—0
Selecting the Best Optimizers for Deep Learning based Medical Image Segmentation—0
Selective Prediction for Semantic Segmentation using Post-Hoc Confidence Estimation and Its Performance under Distribution Shift—0
Selective Segmentation Networks Using Top-Down Attention—0
Self-Adaptive 2D-3D Ensemble of Fully Convolutional Networks for Medical Image Segmentation—0
Self-Adversarial Disentangling for Specific Domain Adaptation—0
Self and Mixed Supervision to Improve Training Labels for Multi-Class Medical Image Segmentation—0
Self-Attention Diffusion Models for Zero-Shot Biomedical Image Segmentation: Unlocking New Frontiers in Medical Imaging—0
Self-awareness in Intelligent Vehicles: Experience Based Abnormality Detection—0
Self-Configuring and Evolving Fuzzy Image Thresholding—0
Self corrective Perturbations for Semantic Segmentation and Classification—0
Self-Ensembling Contrastive Learning for Semi-Supervised Medical Image Segmentation—0
Self-Ensembling with GAN-based Data Augmentation for Domain Adaptation in Semantic Segmentation—0
Self-Erasing Network for Integral Object Attention—0
Self-guided Few-shot Semantic Segmentation for Remote Sensing Imagery Based on Large Vision Models—0
Self-Learning AI Framework for Skin Lesion Image Segmentation and Classification—0
Self-Learning to Detect and Segment Cysts in Lung CT Images without Manual Annotation—0
Self-Loop Uncertainty: A Novel Pseudo-Label for Semi-Supervised Medical Image Segmentation—0
SelfMedHPM: Self Pre-training With Hard Patches Mining Masked Autoencoders For Medical Image Segmentation—0
Self-Mutating Network for Domain Adaptive Segmentation in Aerial Images—0
Self-Occlusions and Disocclusions in Causal Video Object Segmentation—0
Self-Prediction for Joint Instance and Semantic Segmentation of Point Clouds—0
Self Pre-training with Topology- and Spatiality-aware Masked Autoencoders for 3D Medical Image Segmentation—0
Self-Prompt SAM: Medical Image Segmentation via Automatic Prompt SAM Adaptation—0
Self-Regularized Prototypical Network for Few-Shot Semantic Segmentation—0
Self-Regulation for Semantic Segmentation—0
Self-semantic contour adaptation for cross modality brain tumor segmentation—0
Self Semi Supervised Neural Architecture Search for Semantic Segmentation—0
Self-similarity Student for Partial Label Histopathology Image Segmentation—0
Self-Supervised Alignment Learning for Medical Image Segmentation—0
Self-Supervised Audio-Visual Co-Segmentation—0
Self-Supervised CycleGAN for Object-Preserving Image-to-Image Domain Adaptation—0
Self-supervised Depth Estimation to Regularise Semantic Segmentation in Knee Arthroscopy—0
Self-Supervised Domain Mismatch Estimation for Autonomous Perception—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