SOTAVerified

Semantic Segmentation

Papers

Showing 16011625 of 14763 papers

TitleStatusHype
WeatherDG: LLM-assisted Diffusion Model for Procedural Weather Generation in Domain-Generalized Semantic SegmentationCode2
Fractal Calibration for long-tailed object detectionCode0
MANet: Fine-Tuning Segment Anything Model for Multimodal Remote Sensing Semantic Segmentation0
InvSeg: Test-Time Prompt Inversion for Semantic Segmentation0
RClicks: Realistic Click Simulation for Benchmarking Interactive SegmentationCode1
Dual-Teacher Ensemble Models with Double-Copy-Paste for 3D Semi-Supervised Medical Image SegmentationCode0
Locality Alignment Improves Vision-Language ModelsCode2
Manifold-Aware Local Feature Modeling for Semi-Supervised Medical Image SegmentationCode0
UniMatch V2: Pushing the Limit of Semi-Supervised Semantic SegmentationCode3
Affinity-Graph-Guided Contractive Learning for Pretext-Free Medical Image Segmentation with Minimal Annotation0
LKASeg:Remote-Sensing Image Semantic Segmentation with Large Kernel Attention and Full-Scale Skip Connections0
Pubic Symphysis-Fetal Head Segmentation Network Using BiFormer Attention Mechanism and Multipath Dilated Convolution0
Benefiting from Quantum? A Comparative Study of Q-Seg, Quantum-Inspired Techniques, and U-Net for Crack Segmentation0
CAFuser: Condition-Aware Multimodal Fusion for Robust Semantic Perception of Driving ScenesCode1
V2M: Visual 2-Dimensional Mamba for Image Representation LearningCode1
High-Precision Dichotomous Image Segmentation via Probing Diffusion CapacityCode2
3DArticCyclists: Generating Synthetic Articulated 8D Pose-Controllable Cyclist Data for Computer Vision Applications0
GlobalMamba: Global Image Serialization for Vision MambaCode1
Exploiting Local Features and Range Images for Small Data Real-Time Point Cloud Semantic SegmentationCode0
AM-SAM: Automated Prompting and Mask Calibration for Segment Anything Model0
Data Adaptive Few-shot Multi Label Segmentation with Foundation Model0
Retrieval Instead of Fine-tuning: A Retrieval-based Parameter Ensemble for Zero-shot Learning0
UnSeg: One Universal Unlearnable Example Generator is Enough against All Image SegmentationCode1
Text4Seg: Reimagining Image Segmentation as Text GenerationCode2
A New Perspective to Boost Performance Fairness for Medical Federated LearningCode0
Show:102550
← PrevPage 65 of 591Next →

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