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Semantic Segmentation

Papers

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Showing 10801–10850 of 14763 papers

TitleStatusHype
Second-Order Constrained Parametric Proposals and Sequential Search-Based Structured Prediction for Semantic Segmentation in RGB-D Images—0
SECP-Net: SE-Connection Pyramid Network of Organ At Risk Segmentation for Nasopharyngeal Carcinoma—0
Secure 3D medical Imaging—0
See Clearer at Night: Towards Robust Nighttime Semantic Segmentation through Day-Night Image Conversion—0
Seeded Laplaican: An Eigenfunction Solution for Scribble Based Interactive Image Segmentation—0
Seed Feature Maps-based CNN Models for LEO Satellite Remote Sensing Services—0
Neural Groundplans: Persistent Neural Scene Representations from a Single Image—0
Seeing Behind Things: Extending Semantic Segmentation to Occluded Regions—0
Seeing Beyond Cancer: Multi-Institutional Validation of Object Localization and 3D Semantic Segmentation using Deep Learning for Breast MRI—0
Seeing Beyond the Patch: Scale-Adaptive Semantic Segmentation of High-resolution Remote Sensing Imagery based on Reinforcement Learning—0
Seeking multi-thresholds for image segmentation with Learning Automata—0
SeekNet: Improved Human Instance Segmentation and Tracking via Reinforcement Learning Based Optimized Robot Relocation—0
See More Than Once -- Kernel-Sharing Atrous Convolution for Semantic Segmentation—0
SeeThroughNet: Resurrection of Auxiliary Loss by Preserving Class Probability Information—0
See-Through-Text Grouping for Referring Image Segmentation—0
See Yourself in Others: Attending Multiple Tasks for Own Failure Detection—0
Seg4Reg+: Consistency Learning between Spine Segmentation and Cobb Angle Regression—0
SegBook: A Simple Baseline and Cookbook for Volumetric Medical Image Segmentation—0
SEGCloud: Semantic Segmentation of 3D Point Clouds—0
SegCodeNet: Color-Coded Segmentation Masks for Activity Detection from Wearable Cameras—0
Seg-CycleGAN : SAR-to-optical image translation guided by a downstream task—0
SegDA: Maximum Separable Segment Mask with Pseudo Labels for Domain Adaptive Semantic Segmentation—0
segDeepM: Exploiting Segmentation and Context in Deep Neural Networks for Object Detection—0
SegDiscover: Visual Concept Discovery via Unsupervised Semantic Segmentation—0
SegET: Deep Neural Network with Rich Contextual Features for Cellular Structures Segmentation in Electron Tomography Image—0
SegGen: Supercharging Segmentation Models with Text2Mask and Mask2Img Synthesis—0
SegGPT: Towards Segmenting Everything in Context—0
Seg-HGNN: Unsupervised and Light-Weight Image Segmentation with Hyperbolic Graph Neural Networks—0
SegICL: A Multimodal In-context Learning Framework for Enhanced Segmentation in Medical Imaging—0
SegLoc: Learning Segmentation-Based Representations for Privacy-Preserving Visual Localization—0
Visual Self-supervised Learning Scheme for Dense Prediction Tasks on X-ray Images—0
SegMatch: A semi-supervised learning method for surgical instrument segmentation—0
SEGMENT3D: A Web-based Application for Collaborative Segmentation of 3D images used in the Shoot Apical Meristem—0
Segment3D: Learning Fine-Grained Class-Agnostic 3D Segmentation without Manual Labels—0
Segmentação de imagens utilizando competição e cooperação entre partículas—0
Segment (Almost) Nothing: Prompt-Agnostic Adversarial Attacks on Segmentation Models—0
Segment Any 3D Object with Language—0
Segment Any Architectural Facades (SAAF):An automatic segmentation model for building facades, walls and windows based on multimodal semantics guidance—0
Segment Any Cell: A SAM-based Auto-prompting Fine-tuning Framework for Nuclei Segmentation—0
Segment Any Class (SAC): Multi-Class Few-Shot Semantic Segmentation via Class Region Proposals—0
Segment Any Crack: Deep Semantic Segmentation Adaptation for Crack Detection—0
Segment Any Motion in Videos—0
Segment Any Object Model (SAOM): Real-to-Simulation Fine-Tuning Strategy for Multi-Class Multi-Instance Segmentation—0
Segment Any RGB-Thermal Model with Language-aided Distillation—0
Segment Anything, Even Occluded—0
Segment Anything for comprehensive analysis of grapevine cluster architecture and berry properties—0
Segment Anything for Microscopy—0
Segment anything, from space?—0
Segment Anything in Non-Euclidean Domains: Challenges and Opportunities—0
Segment Anything in Pathology Images with Natural Language—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