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Semantic Segmentation

Papers

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Showing 4051–4100 of 14763 papers

TitleStatusHype
PAUMER: Patch Pausing Transformer for Semantic Segmentation—0
DEFN: Dual-Encoder Fourier Group Harmonics Network for Three-Dimensional Indistinct-Boundary Object SegmentationCode1
LLaVA-Interactive: An All-in-One Demo for Image Chat, Segmentation, Generation and EditingCode4
Continual atlas-based segmentation of prostate MRICode1
Joint Depth Prediction and Semantic Segmentation with Multi-View SAM—0
View Classification and Object Detection in Cardiac Ultrasound to Localize Valves via Deep Learning—0
Raising the ClaSS of Streaming Time Series SegmentationCode0
Team I2R-VI-FF Technical Report on EPIC-KITCHENS VISOR Hand Object Segmentation Challenge 2023—0
Bilateral Network with Residual U-blocks and Dual-Guided Attention for Real-time Semantic SegmentationCode1
Annotator: A Generic Active Learning Baseline for LiDAR Semantic Segmentation—0
From Denoising Training to Test-Time Adaptation: Enhancing Domain Generalization for Medical Image SegmentationCode1
Uncertainty Quantification in Machine Learning Based Segmentation: A Post-Hoc Approach for Left Ventricle Volume Estimation in MRI—0
TransXNet: Learning Both Global and Local Dynamics with a Dual Dynamic Token Mixer for Visual RecognitionCode2
Promise:Prompt-driven 3D Medical Image Segmentation Using Pretrained Image Foundation ModelsCode1
MIST: Medical Image Segmentation Transformer with Convolutional Attention Mixing (CAM) DecoderCode1
Resource Constrained Semantic Segmentation for Waste SortingCode0
L2T-DLN: Learning to Teach with Dynamic Loss Network—0
Dynamic Gaussian Splatting from Markerless Motion Capture can Reconstruct Infants Movements—0
Intelligent Breast Cancer Diagnosis with Heuristic-assisted Trans-Res-U-Net and Multiscale DenseNet using Mammogram Images—0
Modular Anti-noise Deep Learning Network for Robotic Grasp Detection Based on RGB ImagesCode0
Mask Propagation for Efficient Video Semantic SegmentationCode1
Uncovering Prototypical Knowledge for Weakly Open-Vocabulary Semantic SegmentationCode1
Dynamic Task and Weight Prioritization Curriculum Learning for Multimodal ImageryCode0
Exploring Data Augmentations on Self-/Semi-/Fully- Supervised Pre-trained Models—0
Audio-Visual Instance SegmentationCode1
One-shot Localization and Segmentation of Medical Images with Foundation Models—0
SmooSeg: Smoothness Prior for Unsupervised Semantic SegmentationCode1
CARIS: Context-Augmented Referring Image SegmentationCode1
A Chebyshev Confidence Guided Source-Free Domain Adaptation Framework for Medical Image Segmentation—0
Instance Segmentation under Occlusions via Location-aware Copy-Paste Data AugmentationCode1
A Self-Supervised Approach to Land Cover Segmentation—0
Text Augmented Spatial-aware Zero-shot Referring Image Segmentation—0
SynergyNet: Bridging the Gap between Discrete and Continuous Representations for Precise Medical Image Segmentation—0
Image Prior and Posterior Conditional Probability Representation for Efficient Damage Assessment—0
Enhancing sea ice segmentation in Sentinel-1 images with atrous convolutionsCode1
A Deep Learning Approach to Teeth Segmentation and Orientation from Panoramic X-raysCode1
Automating lichen monitoring in ecological studies using instance segmentation of time-lapse images—0
BEVContrast: Self-Supervision in BEV Space for Automotive Lidar Point CloudsCode1
Uncertainty-weighted Loss Functions for Improved Adversarial Attacks on Semantic SegmentationCode0
Three Pillars improving Vision Foundation Model Distillation for LidarCode1
torchdistill Meets Hugging Face Libraries for Reproducible, Coding-Free Deep Learning Studies: A Case Study on NLP—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
Virtual Accessory Try-On via Keypoint Hallucination—0
Task-driven Prompt Evolution for Foundation Models—0
Unsupervised Domain Adaptation for Semantic Segmentation with Pseudo Label Self-Refinement—0
Trust, but Verify: Robust Image Segmentation using Deep Learning—0
Using Diffusion Models to Generate Synthetic Labelled Data for Medical Image SegmentationCode1
4D-Editor: Interactive Object-level Editing in Dynamic Neural Radiance Fields via Semantic Distillation—0
Gramian Attention Heads are Strong yet Efficient Vision LearnersCode0
ParisLuco3D: A high-quality target dataset for domain generalization of LiDAR perception—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