SOTAVerified

Semantic Segmentation

Papers

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Showing 7101–7150 of 14763 papers

TitleStatusHype
ISAR: A Benchmark for Single- and Few-Shot Object Instance Segmentation and Re-Identification—0
PotholeGuard: A Pothole Detection Approach by Point Cloud Semantic Segmentation—0
SSL-DG: Rethinking and Fusing Semi-supervised Learning and Domain Generalization in Medical Image SegmentationCode0
An Empirical Study of Uncertainty in Polygon Annotation and the Impact of Quality Assurance—0
Dataset for flood area recognition with semantic segmentation—0
MineSegSAT: An automated system to evaluate mining disturbed area extents from Sentinel-2 imageryCode0
MemorySeg: Online LiDAR Semantic Segmentation with a Latent Memory—0
Scattering Vision Transformer: Spectral Mixing Matters—0
AiluRus: A Scalable ViT Framework for Dense PredictionCode0
Hybrid-Fusion Transformer for Multisequence MRICode0
Augmentation is AUtO-Net: Augmentation-Driven Contrastive Multiview Learning for Medical Image Segmentation—0
Overhead Line Defect Recognition Based on Unsupervised Semantic Segmentation—0
CML-MOTS: Collaborative Multi-task Learning for Multi-Object Tracking and Segmentation—0
A deep learning experiment for semantic segmentation of overlapping characters in palimpsests—0
PAUMER: Patch Pausing Transformer for Semantic Segmentation—0
SDF4CHD: Generative Modeling of Cardiac Anatomies with Congenital Heart Defects—0
Patch-Based Deep Unsupervised Image Segmentation using Graph Cuts—0
Joint Depth Prediction and Semantic Segmentation with Multi-View SAM—0
Raising the ClaSS of Streaming Time Series SegmentationCode0
View Classification and Object Detection in Cardiac Ultrasound to Localize Valves via Deep Learning—0
Team I2R-VI-FF Technical Report on EPIC-KITCHENS VISOR Hand Object Segmentation Challenge 2023—0
Annotator: A Generic Active Learning Baseline for LiDAR Semantic Segmentation—0
L2T-DLN: Learning to Teach with Dynamic Loss Network—0
Intelligent Breast Cancer Diagnosis with Heuristic-assisted Trans-Res-U-Net and Multiscale DenseNet using Mammogram Images—0
Resource Constrained Semantic Segmentation for Waste SortingCode0
Modular Anti-noise Deep Learning Network for Robotic Grasp Detection Based on RGB ImagesCode0
Dynamic Gaussian Splatting from Markerless Motion Capture can Reconstruct Infants Movements—0
Uncertainty Quantification in Machine Learning Based Segmentation: A Post-Hoc Approach for Left Ventricle Volume Estimation in MRI—0
Dynamic Task and Weight Prioritization Curriculum Learning for Multimodal ImageryCode0
One-shot Localization and Segmentation of Medical Images with Foundation Models—0
Exploring Data Augmentations on Self-/Semi-/Fully- Supervised Pre-trained Models—0
A Chebyshev Confidence Guided Source-Free Domain Adaptation Framework for Medical Image Segmentation—0
A Self-Supervised Approach to Land Cover Segmentation—0
Text Augmented Spatial-aware Zero-shot Referring Image Segmentation—0
Automating lichen monitoring in ecological studies using instance segmentation of time-lapse images—0
Virtual Accessory Try-On via Keypoint Hallucination—0
Image Prior and Posterior Conditional Probability Representation for Efficient Damage Assessment—0
SynergyNet: Bridging the Gap between Discrete and Continuous Representations for Precise Medical Image Segmentation—0
Uncertainty-weighted Loss Functions for Improved Adversarial Attacks on Semantic SegmentationCode0
torchdistill Meets Hugging Face Libraries for Reproducible, Coding-Free Deep Learning Studies: A Case Study on NLP—0
Task-driven Prompt Evolution for Foundation Models—0
Technical Note: Feasibility of translating 3.0T-trained Deep-Learning Segmentation Models Out-of-the-Box on Low-Field MRI 0.55T Knee-MRI of Healthy Controls—0
Trust, but Verify: Robust Image Segmentation using Deep Learning—0
Prompt-Driven Building Footprint Extraction in Aerial Images with Offset-Building Model—0
ParisLuco3D: A high-quality target dataset for domain generalization of LiDAR perception—0
Unsupervised Domain Adaptation for Semantic Segmentation with Pseudo Label Self-Refinement—0
Gramian Attention Heads are Strong yet Efficient Vision LearnersCode0
S^3-TTA: Scale-Style Selection for Test-Time Augmentation in Biomedical Image Segmentation—0
4D-Editor: Interactive Object-level Editing in Dynamic Neural Radiance Fields via Semantic Distillation—0
Pixel-Level Clustering Network for Unsupervised Image Segmentation—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
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