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Semantic Segmentation

Papers

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Showing 9051–9100 of 14763 papers

TitleStatusHype
Learning with Limited Annotations: A Survey on Deep Semi-Supervised Learning for Medical Image Segmentation—0
A Transformer-based Generative Adversarial Network for Brain Tumor Segmentation—0
Training a universal instance segmentation network for live cell images of various cell types and imaging modalitiesCode0
PEA: Improving the Performance of ReLU Networks for Free by Using Progressive Ensemble Activations—0
Pro-tuning: Unified Prompt Tuning for Vision Tasks—0
MKANet: A Lightweight Network with Sobel Boundary Loss for Efficient Land-cover Classification of Satellite Remote Sensing Imagery—0
Using Graph Neural Networks for Program Termination—0
Object-ABN: Learning to Generate Sharp Attention Maps for Action Recognition—0
On the robustness of self-supervised representations for multi-view object classification—0
Two-Stream UNET Networks for Semantic Segmentation in Medical Images—0
Generalizable multi-task, multi-domain deep segmentation of sparse pediatric imaging datasets via multi-scale contrastive regularization and multi-joint anatomical priors—0
Contrastive Image Synthesis and Self-supervised Feature Adaptation for Cross-Modality Biomedical Image SegmentationCode0
Adaptive sampling for scanning pixel cameras—0
Incremental Few-Shot Semantic Segmentation via Embedding Adaptive-Update and Hyper-class Representation—0
Learning-Based Keypoint Registration for Fetoscopic Mosaicking—0
Flow 2.0 -a flexible, scalable, cross-platform post-processing software for realtime phase contrast sequences—0
A Study on the Use of Edge TPUs for Eye Fundus Image Segmentation—0
Semantic Segmentation for Autonomous Driving: Model Evaluation, Dataset Generation, Perspective Comparison, and Real-Time CapabilityCode0
Exploring Generalizable Distillation for Efficient Medical Image SegmentationCode0
Transferability limitations for Covid 3D Localization Using SARS-CoV-2 segmentation models in 4D CT images—0
The Bearable Lightness of Big Data: Towards Massive Public Datasets in Scientific Machine LearningCode0
Point2Mask: A Weakly Supervised Approach for Cell Segmentation Using Point Annotation—0
ConvUNeXt: An efficient convolution neural network for medical image segmentationCode0
PCA: Semi-supervised Segmentation with Patch Confidence Adversarial Training—0
VizWiz-FewShot: Locating Objects in Images Taken by People With Visual Impairments—0
BuyTheDips: PathLoss for improved topology-preserving deep learning-based image segmentationCode0
Generative Artisan: A Semantic-Aware and Controllable CLIPstyler—0
Bi-directional Contrastive Learning for Domain Adaptive Semantic Segmentation—0
Learning Better Registration to Learn Better Few-Shot Medical Image Segmentation: Authenticity, Diversity, and Robustness—0
Improving Predictive Performance and Calibration by Weight Fusion in Semantic Segmentation—0
Latent Space Unsupervised Semantic Segmentation—0
Neural Groundplans: Persistent Neural Scene Representations from a Single Image—0
Uncertainty-aware Multi-modal Learning via Cross-modal Random Network Prediction—0
Region Aware Video Object Segmentation with Deep Motion Modeling—0
NeuralBF: Neural Bilateral Filtering for Top-down Instance Segmentation on Point Clouds—0
A System-driven Automatic Ground Truth Generation Method for DL Inner-City Driving Corridor Detectors—0
Large-Kernel Attention for 3D Medical Image Segmentation—0
Global and Local Features through Gaussian Mixture Models on Image Semantic SegmentationCode0
Comparison of automatic prostate zones segmentation models in MRI images using U-net-like architectures—0
KinD-LCE Curve Estimation And Retinex Fusion On Low-Light Image—0
SeasoNet: A Seasonal Scene Classification, segmentation and Retrieval dataset for satellite Imagery over Germany—0
ML-BPM: Multi-teacher Learning with Bidirectional Photometric Mixing for Open Compound Domain Adaptation in Semantic Segmentation—0
Segmentation of 3D Dental Images Using Deep Learning—0
Self-Supervised Interactive Object Segmentation Through a Singulation-and-Grasping Approach—0
Open-world Semantic Segmentation via Contrasting and Clustering Vision-Language Embedding—0
Fully trainable Gaussian derivative convolutional layerCode0
Is Integer Arithmetic Enough for Deep Learning Training?—0
A Semantic-aware Attention and Visual Shielding Network for Cloth-changing Person Re-identification—0
Automatic universal taxonomies for multi-domain semantic segmentation—0
Instance-Aware Observer Network for Out-of-Distribution Object Segmentation—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