SOTAVerified

Semantic Segmentation

Papers

Showing 20262050 of 14763 papers

TitleStatusHype
MedTsLLM: Leveraging LLMs for Multimodal Medical Time Series AnalysisCode2
Ensemble architecture in polyp segmentationCode0
Leveraging Perceptual Scores for Dataset Pruning in Computer Vision Tasks0
ReCLIP++: Learn to Rectify the Bias of CLIP for Unsupervised Semantic SegmentationCode2
Prompt-Based Segmentation at Multiple Resolutions and Lighting Conditions using Segment Anything Model 20
S-SAM: SVD-based Fine-Tuning of Segment Anything Model for Medical Image SegmentationCode1
Wavelet based inpainting detection0
Correlation Weighted Prototype-based Self-Supervised One-Shot Segmentation of Medical Images0
Diffuse-UDA: Addressing Unsupervised Domain Adaptation in Medical Image Segmentation with Appearance and Structure Aligned Diffusion Models0
HeLiMOS: A Dataset for Moving Object Segmentation in 3D Point Clouds From Heterogeneous LiDAR Sensors0
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 Lighting0
Seg-CycleGAN : SAR-to-optical image translation guided by a downstream task0
MacFormer: Semantic Segmentation with Fine Object Boundaries0
Performance Evaluation of YOLOv8 Model Configurations, for Instance Segmentation of Strawberry Fruit Development Stages in an Open Field Environment0
SAM-FNet: SAM-Guided Fusion Network for Laryngo-Pharyngeal Tumor DetectionCode1
Dilated Convolution with Learnable Spacings0
Multimodal generative semantic communication based on latent diffusion model0
vFusedSeg3D: 3rd Place Solution for 2024 Waymo Open Dataset Challenge in Semantic SegmentationCode0
Assessment of Cell Nuclei AI Foundation Models in Kidney PathologyCode0
Hyperbolic Learning with Multimodal Large Language Models0
In Defense of Lazy Visual Grounding for Open-Vocabulary Semantic SegmentationCode2
ProxyCLIP: Proxy Attention Improves CLIP for Open-Vocabulary SegmentationCode2
GuidedNet: Semi-Supervised Multi-Organ Segmentation via Labeled Data Guide Unlabeled DataCode1
Embodied Uncertainty-Aware Object Segmentation0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1InternImage-H (M3I Pre-training)Params (M)1,310Unverified
2ViT-P (InternImage-H)Validation mIoU63.6Unverified
3ONE-PEACEValidation mIoU63Unverified
4M3I Pre-training (InternImage-H)Validation mIoU62.9Unverified
5InternImage-HValidation mIoU62.9Unverified
6BEiT-3Validation mIoU62.8Unverified
7EVAValidation mIoU62.3Unverified
8ViT-P (OneFormer, InternImage-H)Validation mIoU61.6Unverified
9ViT-Adapter-L (Mask2Former, BEiTv2 pretrain)Validation mIoU61.5Unverified
10FD-SwinV2-GValidation mIoU61.4Unverified