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Semantic Segmentation

Papers

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Showing 8701–8750 of 14763 papers

TitleStatusHype
A Benchmark for Out of Distribution Detection in Point Cloud 3D Semantic Segmentation—0
Knowledge Distillation from Cross Teaching Teachers for Efficient Semi-Supervised Abdominal Organ Segmentation in CTCode0
Efficient Unsupervised Video Object Segmentation Network Based on Motion Guidance—0
High-Quality Entity SegmentationCode0
Harmonizing output imbalance for defect segmentation on extremely-imbalanced photovoltaic module cells images—0
Improving Uncertainty-based Out-of-Distribution Detection for Medical Image Segmentation—0
Domain-incremental Cardiac Image Segmentation with Style-oriented Replay and Domain-sensitive Feature Whitening—0
Calibrated Perception Uncertainty Across Objects and Regions in Bird's-Eye-View—0
DepthFormer: Multimodal Positional Encodings and Cross-Input Attention for Transformer-Based Segmentation Networks—0
Dynamic loss balancing and sequential enhancement for road-safety assessment and traffic scene classification—0
Automatic Error Detection in Integrated Circuits Image Segmentation: A Data-driven Approach—0
Exploration of Convolutional Neural Network Architectures for Large Region Map Automation—0
Efficient Single-Image Depth Estimation on Mobile Devices, Mobile AI & AIM 2022 Challenge: Report—0
Polite Teacher: Semi-Supervised Instance Segmentation with Mutual Learning and Pseudo-Label Thresholding—0
BriFiSeg: a deep learning-based method for semantic and instance segmentation of nuclei in brightfield imagesCode0
High-Resolution Boundary Detection for Medical Image Segmentation with Piece-Wise Two-Sample T-Test Augmented Loss—0
Deep Learning based Defect classification and detection in SEM images: A Mask R-CNN approach—0
Analysing the effectiveness of a generative model for semi-supervised medical image segmentation—0
Could Giant Pretrained Image Models Extract Universal Representations?—0
Translated Skip Connections -- Expanding the Receptive Fields of Fully Convolutional Neural NetworksCode0
Quantifying Model Uncertainty for Semantic Segmentation using Operators in the RKHS—0
Quantifying and Learning Static vs. Dynamic Information in Deep Spatiotemporal Networks—0
Style Augmentation improves Medical Image Segmentation—0
Unsupervised Model Adaptation for Source-free Segmentation of Medical Images—0
Hypergraph Convolutional Network based Weakly Supervised Point Cloud Semantic Segmentation with Scene-Level Annotations—0
CircleSnake: Instance Segmentation with Circle RepresentationCode0
Exploring Structure-Wise Uncertainty for 3D Medical Image Segmentation—0
Deep Learning for Global Wildfire Forecasting—0
MFNet: Multi-Feature Fusion Network for Real-Time Semantic Segmentation in Road ScenesCode0
Rethinking Generalization: The Impact of Annotation Style on Medical Image Segmentation—0
Two-Level Temporal Relation Model for Online Video Instance SegmentationCode0
SL3D: Self-supervised-Self-labeled 3D RecognitionCode0
Self-Regularized Prototypical Network for Few-Shot Semantic Segmentation—0
Saliency Can Be All You Need In Contrastive Self-Supervised Learning—0
Improving Hyperspectral Adversarial Robustness Under Multiple Attacks—0
IB-U-Nets: Improving medical image segmentation tasks with 3D Inductive Biased kernelsCode0
Grafting Vision Transformers—0
Localized Randomized Smoothing for Collective Robustness Certification—0
Efficient few-shot learning for pixel-precise handwritten document layout analysis—0
Layout Aware Inpainting for Automated Furniture Removal in Indoor Scenes—0
FAS-UNet: A Novel FAS-driven Unet to Learn Variational Image SegmentationCode0
Accelerating Diffusion Models via Pre-segmentation Diffusion Sampling for Medical Image Segmentation—0
Class Based Thresholding in Early Exit Semantic Segmentation Networks—0
Weakly Supervised Semantic Segmentation of Echocardiography Videos via Multi-level Features Selection—0
UNet-2022: Exploring Dynamics in Non-isomorphic Architecture—0
Super-Resolution Based Patch-Free 3D Image Segmentation with High-Frequency GuidanceCode0
Fast and Efficient Scene Categorization for Autonomous Driving using VAEs—0
IDEAL: Improved DEnse locAL Contrastive Learning for Semi-Supervised Medical Image SegmentationCode0
A Stronger Baseline For Automatic Pfirrmann Grading Of Lumbar Spine MRI Using Deep Learning—0
How precise are performance estimates for typical medical image segmentation tasks?—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