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Semantic Segmentation

Papers

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Showing 7951–8000 of 14763 papers

TitleStatusHype
Feedback-Driven Pseudo-Label Reliability Assessment: Redefining Thresholding for Semi-Supervised Semantic Segmentation—0
Feedback Chain Network For Hippocampus Segmentation—0
BoLTVOS: Box-Level Tracking for Video Object Segmentation—0
Feedback Attention for Cell Image Segmentation—0
Color Space-based HoVer-Net for Nuclei Instance Segmentation and Classification—0
ColorRL: Reinforced Coloring for End-to-End Instance Segmentation—0
Computer-Vision Benchmark Segment-Anything Model (SAM) in Medical Images: Accuracy in 12 Datasets—0
FedSemiDG: Domain Generalized Federated Semi-supervised Medical Image Segmentation—0
FedSeg: Class-Heterogeneous Federated Learning for Semantic Segmentation—0
Color Recognition in Challenging Lighting Environments: CNN Approach—0
An Augmentation-based Model Re-adaptation Framework for Robust Image Segmentation—0
3D Face Parsing via Surface Parameterization and 2D Semantic Segmentation Network—0
Amodal Segmentation for Laparoscopic Surgery Video Instruments—0
FedSCA: Federated Tuning with Similarity-guided Collaborative Aggregation for Heterogeneous Medical Image Segmentation—0
Boosted Training of Convolutional Neural Networks for Multi-Class Segmentation—0
Split and Expand: An inference-time improvement for Weakly Supervised Cell Instance Segmentation—0
FedSaaS: Class-Consistency Federated Semantic Segmentation via Global Prototype Supervision and Local Adversarial Harmonization—0
A Segmentation Foundation Model for Diverse-type Tumors—0
Accuracy of MAP segmentation with hidden Potts and Markov mesh prior models via Path Constrained Viterbi Training, Iterated Conditional Modes and Graph Cut based algorithms—0
M2GAN: A Multi-Stage Self-Attention Network for Image Rain Removal on Autonomous Vehicles—0
Adversarially Trained Convolutional Neural Networks for Semantic Segmentation of Ischaemic Stroke Lesion using Multisequence Magnetic Resonance Imaging—0
MobileInst: Video Instance Segmentation on the Mobile—0
Federated Unsupervised Semantic Segmentation—0
M^33D: Learning 3D priors using Multi-Modal Masked Autoencoders for 2D image and video understanding—0
A scoping review on multimodal deep learning in biomedical images and texts—0
Federated Source-free Domain Adaptation for Classification: Weighted Cluster Aggregation for Unlabeled Data—0
Federated Semi-supervised Learning for Medical Image Segmentation with intra-client and inter-client Consistency—0
TAM-VT: Transformation-Aware Multi-scale Video Transformer for Segmentation and Tracking—0
Color Image Segmentation Using Multi-Objective Swarm Optimizer and Multi-level Histogram Thresholding—0
Federated Self-Supervised Learning of Monocular Depth Estimators for Autonomous Vehicles—0
Federated Self-Supervised Learning for One-Shot Cross-Modal and Cross-Imaging Technique Segmentation—0
Disaggregation of SMAP L3 Brightness Temperatures to 9km using Kernel Machines—0
Color Image Segmentation using Adaptive Particle Swarm Optimization and Fuzzy C-means—0
MaAST: Map Attention with Semantic Transformersfor Efficient Visual Navigation—0
MACD R-CNN: An Abnormal Cell Nucleus Detection Method—0
MacFormer: Semantic Segmentation with Fine Object Boundaries—0
Machine-learned 3D Building Vectorization from Satellite Imagery—0
Machine Learning-based Automatic Graphene Detection with Color Correction for Optical Microscope Images—0
Machine Learning Techniques for Biomedical Image Segmentation: An Overview of Technical Aspects and Introduction to State-of-Art Applications—0
Boosting Image Outpainting with Semantic Layout Prediction—0
ASCNet: Adaptive-Scale Convolutional Neural Networks for Multi-Scale Feature Learning—0
Federated Multi-Target Domain Adaptation—0
Color Image Segmentation Metrics—0
Federated Learning with Partially Labeled Data: A Conditional Distillation Approach—0
MAELi: Masked Autoencoder for Large-Scale LiDAR Point Clouds—0
MAFormer: A Transformer Network with Multi-scale Attention Fusion for Visual Recognition—0
Federated Learning-based Semantic Segmentation for Lane and Object Detection in Autonomous Driving—0
Color image segmentation based on a convex K-means approach—0
Adversarially robust segmentation models learn perceptually-aligned gradients—0
Modality-Agnostic Debiasing for Single Domain Generalization—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