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Semantic Segmentation

Papers

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Showing 5601–5650 of 14763 papers

TitleStatusHype
Open Source Infrastructure for Automatic Cell Segmentation—0
Effective Segmentation of Post-Treatment Gliomas Using Simple Approaches: Artificial Sequence Generation and Ensemble Models—0
AC-IND: Sparse CT reconstruction based on attenuation coefficient estimation and implicit neural distribution—0
Intrapartum Ultrasound Image Segmentation of Pubic Symphysis and Fetal Head Using Dual Student-Teacher Framework with CNN-ViT Collaborative LearningCode0
Quantifying Knee Cartilage Shape and Lesion: From Image to MetricsCode0
Token Turing Machines are Efficient Vision ModelsCode0
Insight Any Instance: Promptable Instance Segmentation for Remote Sensing Images—0
Brain-Inspired Stepwise Patch Merging for Vision Transformers—0
Shadow Removal Refinement via Material-Consistent Shadow Edges—0
Cross-Modal Self-Supervised Learning with Effective Contrastive Units for LiDAR Point CloudsCode0
Seg-HGNN: Unsupervised and Light-Weight Image Segmentation with Hyperbolic Graph Neural Networks—0
A Semantic Segmentation Approach on Sweet Orange Leaf Diseases Detection Utilizing YOLO—0
PPMamba: A Pyramid Pooling Local Auxiliary SSM-Based Model for Remote Sensing Image Semantic Segmentation—0
EDADepth: Enhanced Data Augmentation for Monocular Depth EstimationCode0
SVS-GAN: Leveraging GANs for Semantic Video Synthesis—0
ICPR 2024 Competition on Safe Segmentation of Drive Scenes in Unstructured Traffic and Adverse Weather Conditions—0
LSVOS Challenge Report: Large-scale Complex and Long Video Object Segmentation—0
SX-Stitch: An Efficient VMS-UNet Based Framework for Intraoperative Scoliosis X-Ray Image Stitching—0
FIF-UNet: An Efficient UNet Using Feature Interaction and Fusion for Medical Image Segmentation—0
Segmentation by Factorization: Unsupervised Semantic Segmentation for Pathology by Factorizing Foundation Model Features—0
Enhanced Generative Data Augmentation for Semantic Segmentation via Stronger GuidanceCode0
TAVP: Task-Adaptive Visual Prompt for Cross-domain Few-shot Segmentation—0
Deep Self-Cleansing for Medical Image Segmentation with Noisy Labels—0
RCBEVDet++: Toward High-accuracy Radar-Camera Fusion 3D Perception Network—0
Exploring Fungal Morphology Simulation and Dynamic Light Containment from a Graphics Generation Perspective—0
Efficient Classification of Histopathology Images—0
Cross-Organ Domain Adaptive Neural Network for Pancreatic Endoscopic Ultrasound Image Segmentation—0
Medical Image Segmentation via Single-Source Domain Generalization with Random Amplitude Spectrum SynthesisCode0
Advancing SEM Based Nano-Scale Defect Analysis in Semiconductor Manufacturing for Advanced IC Nodes—0
Boundary feature fusion network for tooth image segmentation—0
Inference-Scale Complexity in ANN-SNN Conversion for High-Performance and Low-Power ApplicationsCode0
Automatic occlusion removal from 3D maps for maritime situational awareness—0
Improving Uncertainty-Error Correspondence in Deep Bayesian Medical Image SegmentationCode0
Foundation Model or Finetune? Evaluation of few-shot semantic segmentation for river pollutionCode0
WaterMAS: Sharpness-Aware Maximization for Neural Network Watermarking—0
TBConvL-Net: A Hybrid Deep Learning Architecture for Robust Medical Image Segmentation—0
TG-LMM: Enhancing Medical Image Segmentation Accuracy through Text-Guided Large Multi-Modal Model—0
UAV (Unmanned Aerial Vehicles): Diverse Applications of UAV Datasets in Segmentation, Classification, Detection, and Tracking—0
SG-MIM: Structured Knowledge Guided Efficient Pre-training for Dense Prediction—0
Validation of musculoskeletal segmentation model with uncertainty estimation for bone and muscle assessment in hip-to-knee clinical CT images—0
Coupling AI and Citizen Science in Creation of Enhanced Training Dataset for Medical Image Segmentation—0
Collaborative Learning for Enhanced Unsupervised Domain Adaptation—0
iConFormer: Dynamic Parameter-Efficient Tuning with Input-Conditioned Adaptation—0
Segmenting Object Affordances: Reproducibility and Sensitivity to ScaleCode0
TransDAE: Dual Attention Mechanism in a Hierarchical Transformer for Efficient Medical Image Segmentation—0
MetaFood3D: 3D Food Dataset with Nutrition Values—0
K-Origins: Better Colour Quantification for Neural NetworksCode0
Efficiently Expanding Receptive Fields: Local Split Attention and Parallel Aggregation for Enhanced Large-scale Point Cloud Semantic Segmentation—0
SeCo-INR: Semantically Conditioned Implicit Neural Representations for Improved Medical Image Super-Resolution—0
SOOD-ImageNet: a Large-Scale Dataset for Semantic Out-Of-Distribution Image Classification and Semantic SegmentationCode0
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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