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Semantic Segmentation

Papers

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Showing 1576–1600 of 14763 papers

TitleStatusHype
Shape Transformation Driven by Active Contour for Class-Imbalanced Semi-Supervised Medical Image SegmentationCode1
Impact of imperfect annotations on CNN training and performance for instance segmentation and classification in digital pathology—0
Attention-Guided Residual U-Net with SE Connection and ASPP for Watershed-Based Cell Segmentation in Microscopy ImagesCode0
ARKit LabelMaker: A New Scale for Indoor 3D Scene UnderstandingCode2
Probabilistic U-Net with Kendall Shape Spaces for Geometry-Aware Segmentations of Images—0
EP-SAM: Weakly Supervised Histopathology Segmentation via Enhanced Prompt with Segment AnythingCode1
LESS: Label-Efficient and Single-Stage Referring 3D SegmentationCode1
Multi-style conversion for semantic segmentation of lesions in fundus images by adversarial attacksCode0
Railway LiDAR semantic segmentation based on intelligent semi-automated data annotation—0
Day-Night Adaptation: An Innovative Source-free Adaptation Framework for Medical Image Segmentation—0
SemSim: Revisiting Weak-to-Strong Consistency from a Semantic Similarity Perspective for Semi-supervised Medical Image Segmentation—0
Adversarial Neural Networks in Medical Imaging Advancements and Challenges in Semantic Segmentation—0
SiamSeg: Self-Training with Contrastive Learning for Unsupervised Domain Adaptation Semantic Segmentation in Remote SensingCode1
Agent Skill Acquisition for Large Language Models via CycleQDCode1
SDI-Paste: Synthetic Dynamic Instance Copy-Paste for Video Instance Segmentation—0
Task Consistent Prototype Learning for Incremental Few-shot Semantic Segmentation—0
Risk Assessment for Autonomous Landing in Urban Environments using Semantic Segmentation—0
Explainable Binary Classification of Separable Shape Ensembles—0
Cascade learning in multi-task encoder-decoder networks for concurrent bone segmentation and glenohumeral joint assessment in shoulder CT scans—0
SAM-Guided Masked Token Prediction for 3D Scene Understanding—0
Mind the Context: Attention-Guided Weak-to-Strong Consistency for Enhanced Semi-Supervised Medical Image Segmentation—0
VividMed: Vision Language Model with Versatile Visual Grounding for MedicineCode1
Fusion from Decomposition: A Self-Supervised Approach for Image Fusion and Beyond—0
Adaptive Prompt Learning with SAM for Few-shot Scanning Probe Microscope Image Segmentation—0
Development and Testing of a Wood Panels Bark Removal Equipment Based on Deep Learning—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