SOTAVerified

Semantic Segmentation

Papers

Showing 13761400 of 14763 papers

TitleStatusHype
Deformable Mamba for Wide Field of View SegmentationCode1
An End-to-End Robust Point Cloud Semantic Segmentation Network with Single-Step Conditional Diffusion ModelsCode2
A Study on Unsupervised Domain Adaptation for Semantic Segmentation in the Era of Vision-Language Models0
A Review of Bayesian Uncertainty Quantification in Deep Probabilistic Image Segmentation0
Learn from Foundation Model: Fruit Detection Model without Manual AnnotationCode1
AnySynth: Harnessing the Power of Image Synthetic Data Generation for Generalized Vision-Language Tasks0
ResCLIP: Residual Attention for Training-free Dense Vision-language InferenceCode2
Self-Calibrated CLIP for Training-Free Open-Vocabulary SegmentationCode2
Integrating Deep Metric Learning with Coreset for Active Learning in 3D SegmentationCode0
Deep Learning for automated multi-scale functional field boundaries extraction using multi-date Sentinel-2 and PlanetScope imagery: Case Study of Netherlands and Pakistan0
SPA: Efficient User-Preference Alignment against Uncertainty in Medical Image Segmentation0
Multi-scale Cascaded Large-Model for Whole-body ROI SegmentationCode0
MulModSeg: Enhancing Unpaired Multi-Modal Medical Image Segmentation with Modality-Conditioned Text Embedding and Alternating TrainingCode1
Boundless Across Domains: A New Paradigm of Adaptive Feature and Cross-Attention for Domain Generalization in Medical Image Segmentation0
Quantum-enhanced unsupervised image segmentation for medical images analysis0
Effective SAM Combination for Open-Vocabulary Semantic Segmentation0
SegBook: A Simple Baseline and Cookbook for Volumetric Medical Image Segmentation0
Enhancing Medical Image Segmentation with Deep Learning and Diffusion Models0
CLIPer: Hierarchically Improving Spatial Representation of CLIP for Open-Vocabulary Semantic SegmentationCode1
Revisiting the Integration of Convolution and Attention for Vision BackboneCode1
CompetitorFormer: Competitor Transformer for 3D Instance Segmentation0
Sli2Vol+: Segmenting 3D Medical Images Based on an Object Estimation Guided Correspondence Flow NetworkCode0
Segment Any Class (SAC): Multi-Class Few-Shot Semantic Segmentation via Class Region Proposals0
FAST-Splat: Fast, Ambiguity-Free Semantics Transfer in Gaussian Splatting0
Entropy Bootstrapping for Weakly Supervised Nuclei Detection0
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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
4InternImage-HValidation mIoU62.9Unverified
5M3I Pre-training (InternImage-H)Validation 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