SOTAVerified

Semantic Segmentation

Papers

Showing 30513075 of 14763 papers

TitleStatusHype
ChebMixer: Efficient Graph Representation Learning with MLP Mixer0
GoodSAM: Bridging Domain and Capacity Gaps via Segment Anything Model for Distortion-aware Panoramic Semantic Segmentation0
EDUE: Expert Disagreement-Guided One-Pass Uncertainty Estimation for Medical Image Segmentation0
SegICL: A Multimodal In-context Learning Framework for Enhanced Segmentation in Medical Imaging0
TwinLiteNetPlus: A Stronger Model for Real-time Drivable Area and Lane SegmentationCode2
SMTF: Sparse transformer with multiscale contextual fusion for medical image segmentationCode0
SM2C: Boost the Semi-supervised Segmentation for Medical Image by using Meta Pseudo Labels and Mixed Images0
AutoInst: Automatic Instance-Based Segmentation of LiDAR 3D ScansCode1
Segment Anything Model for Road Network Graph ExtractionCode3
Dual-modal Prior Semantic Guided Infrared and Visible Image Fusion for Intelligent Transportation System0
Deep Domain Adaptation: A Sim2Real Neural Approach for Improving Eye-Tracking SystemsCode1
MatchSeg: Towards Better Segmentation via Reference Image MatchingCode1
Semantic Gaussians: Open-Vocabulary Scene Understanding with 3D Gaussian Splatting0
Language-Based Depth Hints for Monocular Depth Estimation0
A2DMN: Anatomy-Aware Dilated Multiscale Network for Breast Ultrasound Semantic Segmentation0
LSK3DNet: Towards Effective and Efficient 3D Perception with Large Sparse KernelsCode2
Towards a Comprehensive, Efficient and Promptable Anatomic Structure Segmentation Model using 3D Whole-body CT ScansCode1
ParFormer: A Vision Transformer with Parallel Mixer and Sparse Channel Attention Patch Embedding0
Improve Cross-domain Mixed Sampling with Guidance Training for Adaptive SegmentationCode0
Your Image is My Video: Reshaping the Receptive Field via Image-To-Video Differentiable AutoAugmentation and Fusion0
Modular Deep Active Learning Framework for Image Annotation: A Technical Report for the Ophthalmo-AI Project0
Anytime, Anywhere, Anyone: Investigating the Feasibility of Segment Anything Model for Crowd-Sourcing Medical Image AnnotationsCode0
BSNet: Box-Supervised Simulation-assisted Mean Teacher for 3D Instance SegmentationCode1
A Large-Scale Network Construction and Lightweighting Method for Point Cloud Semantic SegmentationCode1
WeatherProof: Leveraging Language Guidance for Semantic Segmentation in Adverse Weather0
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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