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Semantic Segmentation

Papers

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Showing 5401–5450 of 14763 papers

TitleStatusHype
Human-in-the-loop: The future of Machine Learning in Automated Electron Microscopy—0
3D Object Detection and Instance Segmentation from 3D Range and 2D Color Images—0
AI in the Loop -- Functionalizing Fold Performance Disagreement to Monitor Automated Medical Image Segmentation Pipelines—0
Houdini: Fooling Deep Structured Prediction Models—0
CSS-Segment: 2nd Place Report of LSVOS Challenge VOS Track—0
CSRNet: Cascaded Selective Resolution Network for Real-time Semantic Segmentation—0
CSL: Class-Agnostic Structure-Constrained Learning for Segmentation Including the Unseen—0
CSG: A Context-Semantic Guided Diffusion Approach in De Novo Musculoskeletal Ultrasound Image Generation—0
Houdini: Fooling Deep Structured Visual and Speech Recognition Models with Adversarial Examples—0
AI-Guided Feature Segmentation Techniques to Model Features from Single Crystal Diamond Growth—0
Automated Assessment of Critical View of Safety in Laparoscopic Cholecystectomy—0
CSCL: Critical Semantic-Consistent Learning for Unsupervised Domain Adaptation—0
csBoundary: City-scale Road-boundary Detection in Aerial Images for High-definition Maps—0
AI-Guided Defect Detection Techniques to Model Single Crystal Diamond Growth—0
A Contrario Selection of Optimal Partitions for Image Segmentation—0
HomeRobot Open Vocabulary Mobile Manipulation Challenge 2023 Participant Report (Team KuzHum)—0
Horizontal Federated Computer Vision—0
HoughCL: Finding Better Positive Pairs in Dense Self-supervised Learning—0
Cs2K: Class-specific and Class-shared Knowledge Guidance for Incremental Semantic Segmentation—0
Crowd Sourcing Image Segmentation with iaSTAPLE—0
AI for Agriculture: the Comparison of Semantic Segmentation Methods for Crop Mapping with Sentinel-2 Imagery—0
Holographic Visualisation of Radiology Data and Automated Machine Learning-based Medical Image Segmentation—0
AutoGluon-Multimodal (AutoMM): Supercharging Multimodal AutoML with Foundation Models—0
Holistic Understanding of 3D Scenes as Universal Scene Description—0
HoloHisto: End-to-end Gigapixel WSI Segmentation with 4K Resolution Sequential Tokenization—0
A Connection between Feed-Forward Neural Networks and Probabilistic Graphical Models—0
Cross-supervised Dual Classifiers for Semi-supervised Medical Image Segmentation—0
3D Neighborhood Convolution: Learning Depth-Aware Features for RGB-D and RGB Semantic Segmentation—0
Holistically-Nested Structure-Aware Graph Neural Network for Road Extraction—0
AI Driven Road Maintenance Inspection—0
AutoFish: Dataset and Benchmark for Fine-grained Analysis of Fish—0
Cross Pseudo Supervision Framework for Sparsely Labelled Geospatial Images—0
Cross-Region Domain Adaptation for Class-level Alignment—0
Few-shot Medical Image Segmentation via Cross-Reference Transformer—0
Auto-FedRL: Federated Hyperparameter Optimization for Multi-institutional Medical Image Segmentation—0
Holistic 3D Scene Understanding From a Single Geo-Tagged Image—0
Holistic Decomposition Convolution for Effective Semantic Segmentation of 3D MR Images—0
MetaSketch: Wireless Semantic Segmentation by Metamaterial Surfaces—0
Cross Pixel Optical Flow Similarity for Self-Supervised Learning—0
Auto-FedAvg: Learnable Federated Averaging for Multi-Institutional Medical Image Segmentation—0
AI-Driven MRI-based Brain Tumour Segmentation Benchmarking—0
Interior Object Detection and Color Harmonization—0
Cross-Organ Domain Adaptive Neural Network for Pancreatic Endoscopic Ultrasound Image Segmentation—0
Autoencoders for Multi-Label Prostate MR Segmentation—0
AutoDepthNet: High Frame Rate Depth Map Reconstruction using Commodity Depth and RGB Cameras—0
Cross-model Mutual Learning for Exemplar-based Medical Image Segmentation—0
Cross-Model Consensus of Explanations and Beyond for Image Classification Models: An Empirical Study—0
HNOSeg-XS: Extremely Small Hartley Neural Operator for Efficient and Resolution-Robust 3D Image Segmentation—0
HIVE-Net: Centerline-Aware HIerarchical View-Ensemble Convolutional Network for Mitochondria Segmentation in EM Images—0
Hybrid Multiple Attention Network for Semantic Segmentation in Aerial Images—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