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Semantic Segmentation

Papers

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Showing 10201–10250 of 14763 papers

TitleStatusHype
Interpolation-Aware Padding for 3D Sparse Convolutional Neural NetworksCode0
Multi-Slice Dense-Sparse Learning for Efficient Liver and Tumor Segmentation—0
Real-Time Multi-Modal Semantic Fusion on Unmanned Aerial Vehicles—0
Exploiting a Joint Embedding Space for Generalized Zero-Shot Semantic Segmentation—0
MetaSketch: Wireless Semantic Segmentation by Metamaterial Surfaces—0
3D point cloud segmentation using GIS—0
SimCVD: Simple Contrastive Voxel-Wise Representation Distillation for Semi-Supervised Medical Image Segmentation—0
m-RevNet: Deep Reversible Neural Networks with Momentum—0
Learning to Segment Medical Images from Few-Shot Sparse LabelsCode0
LabOR: Labeling Only if Required for Domain Adaptive Semantic Segmentation—0
Few-Shot Segmentation with Global and Local Contrastive LearningCode0
MultiTask-CenterNet (MCN): Efficient and Diverse Multitask Learning using an Anchor Free Approach—0
Semantic Mobile Base Station Placement—0
UniNet: A Unified Scene Understanding Network and Exploring Multi-Task Relationships through the Lens of Adversarial AttacksCode0
U-Net-and-a-half: Convolutional network for biomedical image segmentation using multiple expert-driven annotationsCode0
Safe Vessel Navigation Visually Aided by Autonomous Unmanned Aerial Vehicles in Congested Harbors and Waterways—0
Boundary-aware Graph Reasoning for Semantic Segmentation—0
LatticeNet: Fast Spatio-Temporal Point Cloud Segmentation Using Permutohedral Lattices—0
An EM Framework for Online Incremental Learning of Semantic SegmentationCode0
Self-Adversarial Disentangling for Specific Domain Adaptation—0
Semantic Segmentation and Object Detection Towards Instance Segmentation: Breast Tumor Identification—0
Medical image segmentation with imperfect 3D bounding boxes—0
Road Scenes Segmentation Across Different Domains by Disentangling Latent RepresentationsCode0
BiMaL: Bijective Maximum Likelihood Approach to Domain Adaptation in Semantic Scene SegmentationCode0
Efficient and Generic Interactive Segmentation Framework to Correct Mispredictions during Clinical Evaluation of Medical Images—0
LSENet: Location and Seasonality Enhanced Network for Multi-Class Ocean Front Detection—0
Global and Local Texture Randomization for Synthetic-to-Real Semantic Segmentation—0
A Low Rank Promoting Prior for Unsupervised Contrastive Learning—0
Deep Neural Networks and PIDE discretizations—0
Attention-based fusion of semantic boundary and non-boundary information to improve semantic segmentation—0
Shape Modeling with Spline PartitionsCode0
Out-of-Domain Generalization from a Single Source: An Uncertainty Quantification Approach—0
Simultaneous Semantic and Collision Learning for 6-DoF Grasp Pose Estimation—0
Specialize and Fuse: Pyramidal Output Representation for Semantic Segmentation—0
Boosting Few-shot Semantic Segmentation with Transformers—0
Free Lunch for Co-Saliency Detection: Context Adjustment—0
Adaptive Path Planning for UAV-based Multi-Resolution Semantic Segmentation—0
Human-In-The-Loop Document Layout Analysis—0
Dynamic Feature Regularized Loss for Weakly Supervised Semantic Segmentation—0
Adaptive Affinity Loss and Erroneous Pseudo-Label Refinement for Weakly Supervised Semantic Segmentation—0
BezierSeg: Parametric Shape Representation for Fast Object Segmentation in Medical Images—0
Projective Skip-Connections for Segmentation Along a Subset of Dimensions in Retinal OCT—0
Style Curriculum Learning for Robust Medical Image Segmentation—0
Visual Boundary Knowledge Translation for Foreground SegmentationCode0
Sefamerve ARGE at SemEval-2021 Task 5: Toxic Spans Detection Using Segmentation Based 1-D Convolutional Neural Network ModelCode0
Boundary Knowledge Translation based Reference Semantic Segmentation—0
Iterative, Deep, and Unsupervised Synthetic Aperture Sonar Image Segmentation—0
Mapping Vulnerable Populations with AI—0
CI-Net: Contextual Information for Joint Semantic Segmentation and Depth Estimation—0
A Unified Efficient Pyramid Transformer for Semantic Segmentation—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
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