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Semantic Segmentation

Papers

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Showing 13851–13900 of 14763 papers

TitleStatusHype
Evaluating the Impact of Point Cloud Colorization on Semantic Segmentation Accuracy—0
Evaluating Transferability for Covid 3D Localization Using CT SARS-CoV-2 segmentation models—0
Evaluating Transformer-based Semantic Segmentation Networks for Pathological Image Segmentation—0
Evaluating Uncertainty Estimation Methods on 3D Semantic Segmentation of Point Clouds—0
Evaluation of 3D CNN Semantic Mapping for Rover Navigation—0
Evaluation of Classifiers for Image Segmentation: Applications for Eucalypt Forest Inventory—0
Evaluation of deep learning-based myocardial infarction quantification using Segment CMR software—0
Evaluation of Deep Learning Semantic Segmentation for Land Cover Mapping on Multispectral, Hyperspectral and High Spatial Aerial Imagery—0
Evaluation of Deep Learning Topcoders Method for Neuron Individualization in Histological Macaque Brain Section—0
Exploiting the Transferability of Deep Learning Systems Across Multi-modal Retinal Scans for Extracting Retinopathy Lesions—0
Evaluation of Dirichlet Process Gaussian Mixtures for Segmentation on Noisy Hyperspectral Images—0
Evaluation of Extra Pixel Interpolation with Mask Processing for Medical Image Segmentation with Deep Learning—0
Evaluation of Image Segmentation and Filtering With ANN in the Papaya Leaf—0
Evaluation of Multimodal Semantic Segmentation using RGB-D Data—0
Evaluation of Multi-Slice Inputs to Convolutional Neural Networks for Medical Image Segmentation—0
A Comparative Study on Multi-task Uncertainty Quantification in Semantic Segmentation and Monocular Depth Estimation—0
Evaluation of Out-of-Distribution Detection Performance on Autonomous Driving Datasets—0
Quantification of geogrid lateral restraint using transparent sand and deep learning-based image segmentation—0
Evaluation of Video Coding for Machines without Ground Truth—0
Event-guided Low-light Video Semantic Segmentation—0
Event management for large scale event-driven digital hardware spiking neural networks—0
Every Component Counts: Rethinking the Measure of Success for Medical Semantic Segmentation in Multi-Instance Segmentation Tasks—0
Every Frame Counts: Joint Learning of Video Segmentation and Optical Flow—0
Evidential Calibrated Uncertainty-Guided Interactive Segmentation paradigm for Ultrasound Images—0
Evidential Deep Learning for Class-Incremental Semantic Segmentation—0
Evidential Semantic Mapping in Off-road Environments with Uncertainty-aware Bayesian Kernel Inference—0
EvidMTL: Evidential Multi-Task Learning for Uncertainty-Aware Semantic Surface Mapping from Monocular RGB Images—0
EVIL: Evidential Inference Learning for Trustworthy Semi-supervised Medical Image Segmentation—0
EVIMO2: An Event Camera Dataset for Motion Segmentation, Optical Flow, Structure from Motion, and Visual Inertial Odometry in Indoor Scenes with Monocular or Stereo Algorithms—0
EV-IMO: Motion Segmentation Dataset and Learning Pipeline for Event Cameras—0
EviPrompt: A Training-Free Evidential Prompt Generation Method for Segment Anything Model in Medical Images—0
EvLight++: Low-Light Video Enhancement with an Event Camera: A Large-Scale Real-World Dataset, Novel Method, and More—0
Evolutionary Prompt Optimization Discovers Emergent Multimodal Reasoning Strategies in Vision-Language Models—0
Evolution of Image Segmentation using Deep Convolutional Neural Network: A Survey—0
Evolved Part Masking for Self-Supervised Learning—0
Evolving Fuzzy Image Segmentation with Self-Configuration—0
EvPlug: Learn a Plug-and-Play Module for Event and Image Fusion—0
EV-SegNet: Semantic Segmentation for Event-based Cameras—0
EvSegSNN: Neuromorphic Semantic Segmentation for Event Data—0
Excavating in the Wild: The GOOSE-Ex Dataset for Semantic Segmentation—0
Exclusive Independent Probability Estimation using Deep 3D Fully Convolutional DenseNets: Application to IsoIntense Infant Brain MRI Segmentation—0
Exemplar-Based Face Parsing—0
Exemplar-FreeSOLO: Enhancing Unsupervised Instance Segmentation With Exemplars—0
Exemplar Learning for Medical Image Segmentation—0
Exemplar Normalization for Learning Deep Representation—0
ExFuse: Enhancing Feature Fusion for Semantic Segmentation—0
Expand-and-Quantize: Unsupervised Semantic Segmentation Using High-Dimensional Space and Product Quantization—0
ExpandNets: Linear Over-parameterization to Train Compact Convolutional Networks—0
Expected exponential loss for gaze-based video and volume ground truth annotation—0
Experimental Large-Scale Jet Flames' Geometrical Features Extraction for Risk Management Using Infrared Images and Deep Learning Segmentation Methods—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