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Semantic Segmentation

Papers

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Showing 8801–8850 of 14763 papers

TitleStatusHype
NeurAll: Towards a Unified Visual Perception Model for Automated Driving—0
Towards increased trustworthiness of deep learning segmentation methods on cardiac MRI—0
Towards Instance Segmentation with Object Priority: Prominent Object Detection and Recognition—0
Towards integrating spatial localization in convolutional neural networks for brain image segmentation—0
Towards Intelligent Transportation with Pedestrians and Vehicles In-the-Loop: A Surveillance Video-Assisted Federated Digital Twin Framework—0
Neural LiDAR Fields for Novel View Synthesis—0
Neural Implicit Dense Semantic SLAM—0
Towards Large-scale 3D Representation Learning with Multi-dataset Point Prompt Training—0
Towards Learning Food Portion From Monocular Images With Cross-Domain Feature Adaptation—0
Towards Leveraging End-of-Life Tools as an Asset: Value Co-Creation based on Deep Learning in the Machining Industry—0
Neural Field Conditioning Strategies for 2D Semantic Segmentation—0
Towards Map-Based Validation of Semantic Segmentation Masks—0
Towards More Unified In-context Visual Understanding—0
Towards Multimodal Multitask Scene Understanding Models for Indoor Mobile Agents—0
Neural Diffusion Distance for Image Segmentation—0
NeuralDiff: Segmenting 3D objects that move in egocentric videos—0
Towards Noiseless Object Contours for Weakly Supervised Semantic Segmentation—0
Towards Open-Set Semantic Segmentation of Aerial Images—0
Neural Data Server: A Large-Scale Search Engine for Transfer Learning Data—0
NeuralBF: Neural Bilateral Filtering for Top-down Instance Segmentation on Point Clouds—0
Towards Open-Vocabulary Semantic Segmentation Without Semantic Labels—0
Neural Architecture Search in operational context: a remote sensing case-study—0
Neural Architecture Search for Dense Prediction Tasks in Computer Vision—0
Network-Free, Unsupervised Semantic Segmentation With Synthetic Images—0
Weakly-Supervised Semantic Segmentation using Motion Cues—0
Towards Panoptic 3D Parsing for Single Image in the Wild—0
Network-Agnostic Knowledge Transfer from Latent Dataset for Medical Image Segmentation—0
Weakly Supervised Semantic Segmentation using Web-Crawled Videos—0
Network-Agnostic Knowledge Transfer for Medical Image Segmentation—0
Ω-Net (Omega-Net): Fully Automatic, Multi-View Cardiac MR Detection, Orientation, and Segmentation with Deep Neural Networks—0
ν-net: Deep Learning for Generalized Biventricular Cardiac Mass and Function Parameters—0
Medical Image Segmentation with Limited Supervision: A Review of Deep Network Models—0
Weakly Supervised Semantic Segmentation Using Constrained Dominant Sets—0
Weakly Supervised Semantic Segmentation via Alternative Self-Dual Teaching—0
NeSF: Neural Semantic Fields for Generalizable Semantic Segmentation of 3D Scenes—0
Towards Reducing Aleatoric Uncertainty for Medical Imaging Tasks—0
Microscopy Image Dataset for Deep Learning-Based Quantitative Assessment of Pulmonary Vascular Changes—0
Zero-BEV: Zero-shot Projection of Any First-Person Modality to BEV Maps—0
Microplastic Identification Using AI-Driven Image Segmentation and GAN-Generated Ecological Context—0
Towards Robust Partially Supervised Multi-Structure Medical Image Segmentation on Small-Scale Data—0
Towards Robust Online Domain Adaptive Semantic Segmentation under Adverse Weather Conditions—0
Towards Robust Part-aware Instance Segmentation for Industrial Bin Picking—0
NeRF-Pose: A First-Reconstruct-Then-Regress Approach for Weakly-supervised 6D Object Pose Estimation—0
Neither Quick Nor Proper -- Evaluation of QuickProp for Learning Deep Neural Networks—0
Towards Robust Semantic Segmentation against Patch-based Attack via Attention Refinement—0
Weakly-supervised Semantic Segmentation via Dual-stream Contrastive Learning of Cross-image Contextual Information—0
Towards Robust Video Instance Segmentation with Temporal-Aware Transformer—0
Neighborhood Spatial Aggregation MC Dropout for Efficient Uncertainty-aware Semantic Segmentation in Point Clouds—0
Towards safe deep learning: accurately quantifying biomarker uncertainty in neural network predictions—0
Towards Scalable and Generalizable Earth Observation Data Mining via Foundation Model Composition—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