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Semantic Segmentation

Papers

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Showing 9201–9250 of 14763 papers

TitleStatusHype
Zero-Shot Dual-Path Integration Framework for Open-Vocabulary 3D Instance Segmentation—0
Uncertainty-guided Model Generalization to Unseen Domains—0
Uncertainty-Guided Mutual Consistency Learning for Semi-Supervised Medical Image Segmentation—0
Uncertainty guided semi-supervised segmentation of retinal layers in OCT images—0
Meta Learning with Differentiable Closed-form Solver for Fast Video Object Segmentation—0
Meta-Learning via Learning with Distributed Memory—0
Multiscale Combinatorial Grouping—0
Uncertainty Modeling in Ultrasound Image Segmentation for Precise Fetal Biometric Measurements—0
Multi-scale Cloud Detection in Remote Sensing Images using a Dual Convolutional Neural Network—0
Uncertainty Quantification for Bird's Eye View Semantic Segmentation: Methods and Benchmarks—0
Uncertainty Quantification for Eosinophil Segmentation—0
Uncertainty Quantification in Machine Learning Based Segmentation: A Post-Hoc Approach for Left Ventricle Volume Estimation in MRI—0
Multi-scale attention-based instance segmentation for measuring crystals with large size variation—0
Uncertainty Quantification in Medical Image Segmentation with Multi-decoder U-Net—0
Meta-Learned Feature Critics for Domain Generalized Semantic Segmentation—0
UNCERTAINTY QUANTIFICATION USING VARIATIONAL INFERENCE FOR BIOMEDICAL IMAGE SEGMENTATION—0
What You Perceive Is What You Conceive: A Cognition-Inspired Framework for Open Vocabulary Image Segmentation—0
Deep Learning with Uncertainty Quantification for Predicting the Segmentation Dice Coefficient of Prostate Cancer Biopsy Images—0
Self-Supervised 3D Traversability Estimation with Proxy Bank Guidance—0
Uncertainty Reduction for Model Adaptation in Semantic Segmentation—0
Meta-information-aware Dual-path Transformer for Differential Diagnosis of Multi-type Pancreatic Lesions in Multi-phase CT—0
Multi-scale and Multi-path Cascaded Convolutional Network for Semantic Segmentation of Colorectal Polyps—0
Multi-Robot Collaborative Perception with Graph Neural Networks—0
Multi-robot autonomous 3D reconstruction using Gaussian splatting with Semantic guidance—0
When 3D Bounding-Box Meets SAM: Point Cloud Instance Segmentation with Weak-and-Noisy Supervision—0
Multi-Resolution Networks for Semantic Segmentation in Whole Slide Images—0
Understanding Deep Learning Techniques for Image Segmentation—0
Multiresolution hierarchy co-clustering for semantic segmentation in sequences with small variations—0
Understanding Fine-tuning CLIP for Open-vocabulary Semantic Segmentation in Hyperbolic Space—0
When Autonomous Systems Meet Accuracy and Transferability through AI: A Survey—0
Understanding Human-Centric Images: From Geometry to Fashion—0
MeanShift++: Extremely Fast Mode-Seeking With Applications to Segmentation and Object Tracking—0
Understanding Imbalanced Semantic Segmentation Through Neural Collapse—0
Understanding Important Features of Deep Learning Models for Transmission Electron Microscopy Image Segmentation—0
Understanding Neural Pathways in Zebrafish through Deep Learning and High Resolution Electron Microscope Data—0
Understanding Segment Anything Model: SAM is Biased Towards Texture Rather than Shape—0
Understanding Self-Supervised Features for Learning Unsupervised Instance Segmentation—0
Understanding the Challenges When 3D Semantic Segmentation Faces Class Imbalanced and OOD Data—0
Understanding the Effect of using Semantically Meaningful Tokens for Visual Representation Learning—0
Multi-Resolution Graph Neural Network for Large-Scale Pointcloud Segmentation—0
Understanding Video Transformers via Universal Concept Discovery—0
Understand Scene Categories by Objects: A Semantic Regularized Scene Classifier Using Convolutional Neural Networks—0
Multiresolution Fully Convolutional Networks to detect Clouds and Snow through Optical Satellite Images—0
Multi-Region Probabilistic Dice Similarity Coefficient using the Aitchison Distance and Bipartite Graph Matching—0
UNet-2022: Exploring Dynamics in Non-isomorphic Architecture—0
Multi Receptive Field Network for Semantic Segmentation—0
UNet-3D with Adaptive TverskyCE Loss for Pancreas Medical Image Segmentation—0
MetaHistoSeg: A Python Framework for Meta Learning in Histopathology Image Segmentation—0
U-Net and its variants for medical image segmentation: theory and applications—0
U-Net and its variants for Medical Image Segmentation : A short review—0
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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