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Semantic Segmentation

Papers

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Showing 5751–5800 of 14763 papers

TitleStatusHype
Diffuse-UDA: Addressing Unsupervised Domain Adaptation in Medical Image Segmentation with Appearance and Structure Aligned Diffusion Models—0
Correlation Weighted Prototype-based Self-Supervised One-Shot Segmentation of Medical Images—0
Wavelet based inpainting detection—0
Enhancing 3D Transformer Segmentation Model for Medical Image with Token-level Representation LearningCode0
A-BDD: Leveraging Data Augmentations for Safe Autonomous Driving in Adverse Weather and Lighting—0
Performance Evaluation of YOLOv8 Model Configurations, for Instance Segmentation of Strawberry Fruit Development Stages in an Open Field Environment—0
MacFormer: Semantic Segmentation with Fine Object Boundaries—0
Seg-CycleGAN : SAR-to-optical image translation guided by a downstream task—0
Dilated Convolution with Learnable Spacings—0
Multimodal generative semantic communication based on latent diffusion model—0
Hyperbolic Learning with Multimodal Large Language Models—0
Assessment of Cell Nuclei AI Foundation Models in Kidney PathologyCode0
vFusedSeg3D: 3rd Place Solution for 2024 Waymo Open Dataset Challenge in Semantic SegmentationCode0
SAM 2 in Robotic Surgery: An Empirical Evaluation for Robustness and Generalization in Surgical Video Segmentation—0
SegXAL: Explainable Active Learning for Semantic Segmentation in Driving Scene Scenarios—0
What could go wrong? Discovering and describing failure modes in computer vision—0
Novel adaptation of video segmentation to 3D MRI: efficient zero-shot knee segmentation with SAM2—0
Is SAM 2 Better than SAM in Medical Image Segmentation?—0
Embodied Uncertainty-Aware Object Segmentation—0
Robust Approximate Characterization of Single-Cell Heterogeneity in Microbial GrowthCode0
Quantifying the Impact of Population Shift Across Age and Sex for Abdominal Organ Segmentation—0
Distillation Learning Guided by Image Reconstruction for One-Shot Medical Image SegmentationCode0
How Well Can Vision Language Models See Image Details?—0
Performance and Non-adversarial Robustness of the Segment Anything Model 2 in Surgical Video Segmentation—0
Fast Sprite Decomposition from Animated Graphics—0
Biomedical Image Segmentation: A Systematic Literature Review of Deep Learning Based Object Detection Methods—0
Biomedical SAM 2: Segment Anything in Biomedical Images and VideosCode0
Comb, Prune, Distill: Towards Unified Pruning for Vision Model CompressionCode0
Post-Mortem Human Iris Segmentation Analysis with Deep Learning—0
Segmentation Style Discovery: Application to Skin Lesion ImagesCode0
Dimensionality Reduction and Nearest Neighbors for Improving Out-of-Distribution Detection in Medical Image SegmentationCode0
Perception Matters: Enhancing Embodied AI with Uncertainty-Aware Semantic Segmentation—0
Cross Pseudo Supervision Framework for Sparsely Labelled Geospatial Images—0
Cross-Domain Semantic Segmentation on Inconsistent Taxonomy using VLMsCode0
A Two-Stage Progressive Pre-training using Multi-Modal Contrastive Masked Autoencoders—0
View-consistent Object Removal in Radiance Fields—0
PanicleNeRF: low-cost, high-precision in-field phenotypingof rice panicles with smartphone—0
Pixel-Level Domain Adaptation: A New Perspective for Enhancing Weakly Supervised Semantic SegmentationCode0
LAM3D: Leveraging Attention for Monocular 3D Object Detection—0
Bayesian Active Learning for Semantic Segmentation—0
A Comparative Analysis of CNN-based Deep Learning Models for Landslide Detection—0
Music2P: A Multi-Modal AI-Driven Tool for Simplifying Album Cover DesignCode0
Leveraging GNSS and Onboard Visual Data from Consumer Vehicles for Robust Road Network Estimation—0
MedUHIP: Towards Human-In-the-Loop Medical Segmentation—0
Challenge Summary U-MedSAM: Uncertainty-aware MedSAM for Medical Image Segmentation—0
Multi-Unit Floor Plan Recognition and Reconstruction Using Improved Semantic Segmentation of Raster-Wise Floor Plans—0
Balanced Residual Distillation Learning for 3D Point Cloud Class-Incremental Semantic Segmentation—0
A Robotics-Inspired Scanpath Model Reveals the Importance of Uncertainty and Semantic Object Cues for Gaze Guidance in Dynamic ScenesCode0
Amodal Segmentation for Laparoscopic Surgery Video Instruments—0
Boosting Gaze Object Prediction via Pixel-level Supervision from Vision Foundation ModelCode0
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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