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Semantic Segmentation

Papers

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Showing 13901–13950 of 14763 papers

TitleStatusHype
Explaining Uncertainty in Multiple Sclerosis Lesion Segmentation Beyond Prediction Errors—0
Explainability Tools Enabling Deep Learning in Future In-Situ Real-Time Planetary Explorations—0
Explainable AI (XAI) in Image Segmentation in Medicine, Industry, and Beyond: A Survey—0
Explainable, automated urban interventions to improve pedestrian and vehicle safety—0
Explainable Binary Classification of Separable Shape Ensembles—0
Explainable LiDAR 3D Point Cloud Segmentation and Clustering for Detecting Airplane-Generated Wind Turbulence—0
Explainable Semantic Mapping for First Responders—0
Explainable Semantic Medical Image Segmentation with Style—0
Explaining Deep Models through Forgettable Learning Dynamics—0
Explanations of Classifiers Enhance Medical Image Segmentation via End-to-end Pre-training—0
Explanatory Analysis and Rectification of the Pitfalls in COVID-19 Datasets—0
Explicit topological priors for deep-learning based image segmentation using persistent homology—0
Exploit CAM by itself: Complementary Learning System for Weakly Supervised Semantic Segmentation—0
Exploit fully automatic low-level segmented PET data for training high-level deep learning algorithms for the corresponding CT data—0
Exploiting a Joint Embedding Space for Generalized Zero-Shot Semantic Segmentation—0
Exploiting Clinically Available Delineations for CNN-based Segmentation in Radiotherapy Treatment Planning—0
Exploiting CNNs for Semantic Segmentation with Pascal VOC—0
DLBC: A Deep Learning-Based Consensus in Blockchains for Deep Learning Services—0
Exploiting Contextual Uncertainty of Visual Data for Efficient Training of Deep Models—0
Exploiting Depth from Single Monocular Images for Object Detection and Semantic Segmentation—0
Exploiting Image Translations via Ensemble Self-Supervised Learning for Unsupervised Domain Adaptation—0
Exploiting Inter-pixel Correlations in Unsupervised Domain Adaptation for Semantic Segmentation—0
Exploiting Local Geometry for Feature and Graph Construction for Better 3D Point Cloud Processing with Graph Neural Networks—0
Exploiting Multi-Layer Grid Maps for Surround-View Semantic Segmentation of Sparse LiDAR Data—0
Exploiting Negative Learning for Implicit Pseudo Label Rectification in Source-Free Domain Adaptive Semantic Segmentation—0
Exploiting Object-based and Segmentation-based Semantic Features for Deep Learning-based Indoor Scene Classification—0
Exploiting Richness of Learned Compressed Representation of Images for Semantic Segmentation—0
Exploiting saliency for object segmentation from image level labels—0
Exploiting Semantics in Adversarial Training for Image-Level Domain Adaptation—0
Exploiting Shape Cues for Weakly Supervised Semantic Segmentation—0
Exploiting Spatial Structure for Localizing Manipulated Image Regions—0
A Novel Technique for Evidence based Conditional Inference in Deep Neural Networks via Latent Feature Perturbation—0
Exploiting the potential of unlabeled endoscopic video data with self-supervised learning—0
Exploiting XAI maps to improve MS lesion segmentation and detection in MRI—0
Exploit Visual Dependency Relations for Semantic Segmentation—0
Exploration of Convolutional Neural Network Architectures for Large Region Map Automation—0
Exploration of Multi-Scale Image Fusion Systems in Intelligent Medical Image Analysis—0
Exploration of Optimized Semantic Segmentation Architectures for edge-Deployment on Drones—0
Explore Synergistic Interaction Across Frames for Interactive Video Object Segmentation—0
Exploring and Exploiting Diversity for Image Segmentation—0
Exploring Cellular Protein Localization Through Semantic Image Synthesis—0
Exploring Content Based Image Retrieval for Highly Imbalanced Melanoma Data using Style Transfer, Semantic Image Segmentation and Ensemble Learning—0
Exploring Context with Deep Structured models for Semantic Segmentation—0
Exploring Data Augmentations on Self-/Semi-/Fully- Supervised Pre-trained Models—0
Exploring Deep 3D Spatial Encodings for Large-Scale 3D Scene Understanding—0
Exploring Deep Spiking Neural Networks for Automated Driving Applications—0
Exploring DINO: Emergent Properties and Limitations for Synthetic Aperture Radar Imagery—0
Bridging 2D and 3D Segmentation Networks for Computation Efficient Volumetric Medical Image Segmentation: An Empirical Study of 2.5D Solutions—0
Exploring Fully Convolutional Networks for the Segmentation of Hyperspectral Imaging Applied to Advanced Driver Assistance Systems—0
Exploring Fungal Morphology Simulation and Dynamic Light Containment from a Graphics Generation Perspective—0
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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