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Semantic Segmentation

Papers

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Showing 10951–11000 of 14763 papers

TitleStatusHype
Self-Supervised Facial Representation Learning with Facial Region Awareness—0
Self-Supervised Image Representation Learning with Geometric Set Consistency—0
Self-Supervised Image-to-Point Distillation via Semantically Tolerant Contrastive Loss—0
Self-Supervised Instance Segmentation by Grasping—0
Self-Supervised Interactive Object Segmentation Through a Singulation-and-Grasping Approach—0
Self-supervised learning for autonomous vehicles perception: A conciliation between analytical and learning methods—0
Self-Supervised Learning for Cardiac MR Image Segmentation by Anatomical Position Prediction—0
Self-Supervised Learning for Image Segmentation: A Comprehensive Survey—0
Self-Supervised Learning for Medical Image Data with Anatomy-Oriented Imaging Planes—0
Self-Supervised Learning for Biological Sample Localization in 3D Tomographic Images—0
Self-Supervised Learning for Robotic Leaf Manipulation: A Hybrid Geometric-Neural Approach—0
Self-Supervised Learning with Generative Adversarial Networks for Electron Microscopy—0
Self-Supervised Learning of Object Segmentation from Unlabeled RGB-D Videos—0
Self-Supervised Learning on 3D Point Clouds by Learning Discrete Generative Models—0
Self-supervised Learning via Cluster Distance Prediction for Operating Room Context Awareness—0
Self-supervised Learning with Fully Convolutional Networks—0
Self-supervised Learning with Local Contrastive Loss for Detection and Semantic Segmentation—0
Self-supervised Object-Centric Learning for Videos—0
Self-Supervised Object-in-Gripper Segmentation from Robotic Motions—0
Self-supervised Object Motion and Depth Estimation from Video—0
SS-CPGAN: Self-Supervised Cut-and-Pasting Generative Adversarial Network for Object Segmentation—0
Self-Supervised Pretraining for Aerial Road Extraction—0
Self-supervised Pre-training for Semantic Segmentation in an Indoor Scene—0
Self-Supervised Pre-training of 3D Point Cloud Networks with Image Data—0
Self-Supervised Pre-training of Vision Transformers for Dense Prediction Tasks—0
Self-Supervised-RCNN for Medical Image Segmentation with Limited Data Annotation—0
Self-supervised Registration and Segmentation of the Ossicles with A Single Ground Truth Label—0
Self-Supervised Relative Depth Learning for Urban Scene Understanding—0
Self-Supervised Representation Learning from Flow Equivariance—0
Self-Supervised Representation Learning with Meta Comprehensive Regularization—0
Self-supervised Segmentation via Background Inpainting—0
Self-supervised Semantic Segmentation Grounded in Visual Concepts—0
Self-Supervised Temporal Analysis of Spatiotemporal Data—0
Self-mentoring: a new deep learning pipeline to train a self-supervised U-net for few-shot learning of bio-artificial capsule segmentation—0
Self-Supervised Versus Supervised Training for Segmentation of Organoid Images—0
Self-supervised Video Instance Segmentation Can Boost Geographic Entity Alignment in Historical Maps—0
Self-supervised Video Object Segmentation with Distillation Learning of Deformable Attention—0
Self-supervised Video Object Segmentation by Motion Grouping—0
Self-Supervised Video Object Segmentation via Cutout Prediction and Tagging—0
Self-supervised video pretraining yields robust and more human-aligned visual representations—0
Self-Supervised Vision Transformers Are Efficient Segmentation Learners for Imperfect Labels—0
Self-Supervised Visual Terrain Classification from Unsupervised Acoustic Feature Learning—0
Self-trained Panoptic Segmentation—0
Self-Training Based Unsupervised Cross-Modality Domain Adaptation for Vestibular Schwannoma and Cochlea Segmentation—0
Self-Training for Class-Incremental Semantic Segmentation—0
Self-training via Metric Learning for Source-Free Domain Adaptation of Semantic Segmentation—0
Self-training with dual uncertainty for semi-supervised medical image segmentation—0
SeLIP: Similarity Enhanced Contrastive Language Image Pretraining for Multi-modal Head MRI—0
SELMA3D challenge: Self-supervised learning for 3D light-sheet microscopy image segmentation—0
SELMA: SEmantic Large-scale Multimodal Acquisitions in Variable Weather, Daytime and Viewpoints—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