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Semantic Segmentation

Papers

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Showing 14601–14650 of 14763 papers

TitleStatusHype
H-Net: A Multitask Architecture for Simultaneous 3D Force Estimation and Stereo Semantic Segmentation in Intracardiac Catheters—0
HNOSeg-XS: Extremely Small Hartley Neural Operator for Efficient and Resolution-Robust 3D Image Segmentation—0
Holistic 3D Scene Understanding From a Single Geo-Tagged Image—0
Holistically-Nested Structure-Aware Graph Neural Network for Road Extraction—0
Holistic Decomposition Convolution for Effective Semantic Segmentation of 3D MR Images—0
Holistic Understanding of 3D Scenes as Universal Scene Description—0
Holographic Visualisation of Radiology Data and Automated Machine Learning-based Medical Image Segmentation—0
HoloHisto: End-to-end Gigapixel WSI Segmentation with 4K Resolution Sequential Tokenization—0
MetaSketch: Wireless Semantic Segmentation by Metamaterial Surfaces—0
HomeRobot Open Vocabulary Mobile Manipulation Challenge 2023 Participant Report (Team KuzHum)—0
Horizontal Federated Computer Vision—0
Houdini: Fooling Deep Structured Prediction Models—0
Houdini: Fooling Deep Structured Visual and Speech Recognition Models with Adversarial Examples—0
HoughCL: Finding Better Positive Pairs in Dense Self-supervised Learning—0
HoughToRadon Transform: New Neural Network Layer for Features Improvement in Projection Space—0
How Can CNNs Use Image Position for Segmentation?—0
How can we learn (more) from challenges? A statistical approach to driving future algorithm development—0
How Certain are Uncertainty Estimates? Three Novel Earth Observation Datasets for Benchmarking Uncertainty Quantification in Machine Learning—0
Uncertainty categories in medical image segmentation: a study of source-related diversity—0
How do Cross-View and Cross-Modal Alignment Affect Representations in Contrastive Learning?—0
How good nnU-Net for Segmenting Cardiac MRI: A Comprehensive Evaluation—0
How inter-rater variability relates to aleatoric and epistemic uncertainty: a case study with deep learning-based paraspinal muscle segmentation—0
How Low Can We Go? Pixel Annotation for Semantic Segmentation—0
How Object Information Improves Skeleton-based Human Action Recognition in Assembly Tasks—0
How precise are performance estimates for typical medical image segmentation tasks?—0
How stable are Transferability Metrics evaluations?—0
How to Evaluate Foreground Maps?—0
Tamed Warping Network for High-Resolution Semantic Video Segmentation—0
How Well Can Vision Language Models See Image Details?—0
HPGNN: Using Hierarchical Graph Neural Networks for Outdoor Point Cloud Processing—0
HPL-ESS: Hybrid Pseudo-Labeling for Unsupervised Event-based Semantic Segmentation—0
HResFormer: Hybrid Residual Transformer for Volumetric Medical Image Segmentation—0
HRFNet: High-Resolution Forgery Network for Localizing Satellite Image Manipulation—0
HR-RCNN: Hierarchical Relational Reasoning for Object Detection—0
HS3: Learning with Proper Task Complexity in Hierarchically Supervised Semantic Segmentation—0
hSDB-instrument: Instrument Localization Database for Laparoscopic and Robotic Surgeries—0
HSFusion: A high-level vision task-driven infrared and visible image fusion network via semantic and geometric domain transformation—0
HSI-Drive v2.0: More Data for New Challenges in Scene Understanding for Autonomous Driving—0
HST-MRF: Heterogeneous Swin Transformer with Multi-Receptive Field for Medical Image Segmentation—0
HTML: Hybrid Temporal-scale Multimodal Learning Framework for Referring Video Object Segmentation—0
Hu-Fu: Hardware and Software Collaborative Attack Framework against Neural Networks—0
HUGE2: a Highly Untangled Generative-model Engine for Edge-computing—0
Human Body Shape Classification Based on a Single Image—0
Human De-occlusion: Invisible Perception and Recovery for Humans—0
Human Detection from 4D Radar Data in Low-Visibility Field Conditions—0
Human Extraction and Scene Transition utilizing Mask R-CNN—0
Human Instance Segmentation and Tracking via Data Association and Single-stage Detector—0
Human-In-The-Loop Document Layout Analysis—0
Human-in-the-loop: The future of Machine Learning in Automated Electron Microscopy—0
Human-level Performance On Automatic Head Biometrics In Fetal Ultrasound Using Fully Convolutional Neural Networks—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