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Semantic Segmentation

Papers

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Showing 6251–6300 of 14763 papers

TitleStatusHype
HGNet: Learning Hierarchical Geometry From Points, Edges, and Surfaces—0
Hunting Sparsity: Density-Guided Contrastive Learning for Semi-Supervised Semantic SegmentationCode1
Learning To Exploit the Sequence-Specific Prior Knowledge for Image Processing Pipelines Optimization—0
Learning Multi-Modal Class-Specific Tokens for Weakly Supervised Dense Object Localization—0
Towards Reliable Medical Image Segmentation by utilizing Evidential Calibrated UncertaintyCode1
Efficient On-device Training via Gradient FilteringCode1
MTNeuro: A Benchmark for Evaluating Representations of Brain Structure Across Multiple Levels of AbstractionCode0
SS-CPGAN: Self-Supervised Cut-and-Pasting Generative Adversarial Network for Object Segmentation—0
Tracking Passengers and Baggage Items using Multiple Overhead Cameras at Security CheckpointsCode0
Disjoint Masking with Joint Distillation for Efficient Masked Image ModelingCode1
Detection of Malfunctioning Modules in Photovoltaic Power Plants using Unsupervised Feature Clustering Segmentation Algorithm—0
Informing selection of performance metrics for medical image segmentation evaluation using configurable synthetic errors—0
Unsupervised 4D LiDAR Moving Object Segmentation in Stationary Settings with Multivariate Occupancy Time SeriesCode0
PanDepth: Joint Panoptic Segmentation and Depth CompletionCode1
Zero-Shot Object Segmentation through Concept Distillation from Generative Image Foundation Models—0
A Class-wise Non-salient Region Generalized Framework for Video Semantic Segmentation—0
MagicNet: Semi-Supervised Multi-Organ Segmentation via Magic-Cube Partition and RecoveryCode1
AttEntropy: On the Generalization Ability of Supervised Semantic Segmentation Transformers to New Objects in New DomainsCode0
CellTranspose: Few-shot Domain Adaptation for Cellular Instance Segmentation—0
Efficient Semantic Segmentation on Edge Devices—0
CT-LungNet: A Deep Learning Framework for Precise Lung Tissue Segmentation in 3D Thoracic CT Scans—0
Representation Separation for Semantic Segmentation with Vision Transformers—0
MyI-Net: Fully Automatic Detection and Quantification of Myocardial Infarction from Cardiovascular MRI Images—0
Pixel Relationships-based Regularizer for Retinal Vessel Image Segmentation—0
1st Place Solution for YouTubeVOS Challenge 2022: Referring Video Object SegmentationCode1
Brain Cancer Segmentation Using YOLOv5 Deep Neural Network—0
Interactive Segmentation of Radiance Fields—0
DAE-Former: Dual Attention-guided Efficient Transformer for Medical Image SegmentationCode1
Semi-Supervised Semantic Segmentation Methods for UW-OCTA Diabetic Retinopathy Grade Assessment—0
The most general manner to injectively align true and predicted segments—0
Position-Aware Contrastive Alignment for Referring Image Segmentation—0
Semi-Supervised Domain Adaptation for Semantic Segmentation of Roads from Satellite Images—0
PMODE: Prototypical Mask based Object Dimension Estimation—0
Weakly-Supervised Semantic Segmentation of Ships Using Thermal Imagery—0
Artificial Pupil Dilation for Data Augmentation in Iris Semantic SegmentationCode1
HandsOff: Labeled Dataset Generation With No Additional Human Annotations—0
A Close Look at Spatial Modeling: From Attention to ConvolutionCode1
Push-the-Boundary: Boundary-aware Feature Propagation for Semantic Segmentation of 3D Point CloudsCode1
Precise Location Matching Improves Dense Contrastive Learning in Digital PathologyCode0
SupeRGB-D: Zero-shot Instance Segmentation in Cluttered Indoor EnvironmentsCode1
Reversible Column NetworksCode2
On Calibrating Semantic Segmentation Models: Analyses and An AlgorithmCode1
Confidence-Aware Paced-Curriculum Learning by Label Smoothing for Surgical Scene UnderstandingCode0
Lightweight Monocular Depth Estimation—0
DuAT: Dual-Aggregation Transformer Network for Medical Image SegmentationCode1
Generalized Decoding for Pixel, Image, and LanguageCode3
MaskingDepth: Masked Consistency Regularization for Semi-supervised Monocular Depth EstimationCode1
TMS-Net: A Segmentation Network Coupled With A Run-time Quality Control Method For Robust Cardiac Image SegmentationCode0
Uncertainty in Real-Time Semantic Segmentation on Embedded SystemsCode0
Temporal Output Discrepancy for Loss Estimation-based Active Learning—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