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Semantic Segmentation

Papers

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Showing 6051–6100 of 14763 papers

TitleStatusHype
Learning Good Features to Transfer Across Tasks and Domains—0
Learning from Mistakes: Self-Regularizing Hierarchical Representations in Point Cloud Semantic Segmentation—0
Enhancing Medical Image Segmentation with TransCeption: A Multi-Scale Feature Fusion ApproachCode1
Flow-guided Semi-supervised Video Object Segmentation—0
Using a Waffle Iron for Automotive Point Cloud Semantic SegmentationCode1
RangeViT: Towards Vision Transformers for 3D Semantic Segmentation in Autonomous DrivingCode1
Long-tail Detection with Effective Class-MarginsCode1
Victoria Amazonica Optimization (VAO): An Algorithm Inspired by the Giant Water Lily PlantCode0
Learning Open-vocabulary Semantic Segmentation Models From Natural Language SupervisionCode1
Recurrent Generic Contour-based Instance Segmentation with Progressive LearningCode1
Occlusion Reasoning for Skeleton Extraction of Self-Occluded Tree Canopies—0
Towards Robust Video Instance Segmentation with Temporal-Aware Transformer—0
Improving Sketch Colorization using Adversarial Segmentation ConsistencyCode1
FG-Depth: Flow-Guided Unsupervised Monocular Depth Estimation—0
Estimation of mitral valve hinge point coordinates -- deep neural net for echocardiogram segmentation—0
MedSegDiff-V2: Diffusion based Medical Image Segmentation with TransformerCode3
Point Cloud Data Simulation and Modelling with Aize Workspace—0
Hybrid Open-set Segmentation with Synthetic Negative DataCode1
Class Enhancement Losses with Pseudo Labels for Zero-shot Semantic Segmentation—0
MADAv2: Advanced Multi-Anchor Based Active Domain Adaptation SegmentationCode1
Joint Representation Learning for Text and 3D Point CloudCode0
Contrastive Learning for Self-Supervised Pre-Training of Point Cloud Segmentation Networks With Image Data—0
Curvilinear object segmentation in medical images based on ODoS filter and deep learning network—0
Active learning for medical image segmentation with stochastic batchesCode1
Model-based inexact graph matching on top of CNNs for semantic scene understandingCode0
Three-dimensional reconstruction and characterization of bladder deformations—0
Sharp Eyes: A Salient Object Detector Working The Same Way as Human Visual CharacteristicsCode0
Reslicing Ultrasound Images for Data Augmentation and Vessel Reconstruction—0
Semi-Supervised Semantic Segmentation via Gentle Teaching AssistantCode1
Training Semantic Segmentation on Heterogeneous Datasets—0
SegViz: A federated-learning based framework for multi-organ segmentation on heterogeneous data sets with partial annotations—0
SAT: Size-Aware Transformer for 3D Point Cloud Semantic Segmentation—0
Vision Based Machine Learning Algorithms for Out-of-Distribution Generalisation—0
Artificial intelligence as a gateway to scientific discovery: Uncovering features in retinal fundus images—0
Multi Kernel Positional Embedding ConvNeXt for Polyp SegmentationCode1
Modeling Uncertain Feature Representation for Domain GeneralizationCode1
TAAL: Test-time Augmentation for Active Learning in Medical Image SegmentationCode0
Linguistic Query-Guided Mask Generation for Referring Image Segmentation—0
Post-Train Adaptive U-Net for Image Segmentation—0
Hematoxylin and eosin stained oral squamous cell carcinoma histological images datasetCode1
Visual deep learning-based explanation for neuritic plaques segmentation in Alzheimer's Disease using weakly annotated whole slide histopathological imagesCode0
A Comprehensive Review of Modern Object Segmentation Approaches—0
Self-Training Guided Disentangled Adaptation for Cross-Domain Remote Sensing Image Semantic SegmentationCode1
RCPS: Rectified Contrastive Pseudo Supervision for Semi-Supervised Medical Image SegmentationCode1
Self-Supervised Image-to-Point Distillation via Semantically Tolerant Contrastive Loss—0
Self-Supervised Correction Learning for Semi-Supervised Biomedical Image SegmentationCode1
Semantic Segmentation via Pixel-to-Center Similarity Calculation—0
ViTs for SITS: Vision Transformers for Satellite Image Time SeriesCode2
ZScribbleSeg: Zen and the Art of Scribble Supervised Medical Image Segmentation—0
Open-vocabulary Object Segmentation with Diffusion ModelsCode1
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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