SOTAVerified

Semantic Segmentation

Papers

Showing 12011250 of 14763 papers

TitleStatusHype
SG-BEV: Satellite-Guided BEV Fusion for Cross-View Semantic SegmentationCode1
Synthetic Data for Robust Stroke SegmentationCode1
Event-assisted Low-Light Video Object SegmentationCode1
PDF: A Probability-Driven Framework for Open World 3D Point Cloud Semantic SegmentationCode1
Language Guided Domain Generalized Medical Image SegmentationCode1
GOV-NeSF: Generalizable Open-Vocabulary Neural Semantic FieldsCode1
Deep Instruction Tuning for Segment Anything ModelCode1
TTD: Text-Tag Self-Distillation Enhancing Image-Text Alignment in CLIP to Alleviate Single Tag BiasCode1
DHR: Dual Features-Driven Hierarchical Rebalancing in Inter- and Intra-Class Regions for Weakly-Supervised Semantic SegmentationCode1
Temporally Consistent Referring Video Object Segmentation with Hybrid MemoryCode1
Genetic Quantization-Aware Approximation for Non-Linear Operations in TransformersCode1
The Need for Speed: Pruning Transformers with One RecipeCode1
CoDA: Instructive Chain-of-Domain Adaptation with Severity-Aware Visual Prompt TuningCode1
Heracles: A Hybrid SSM-Transformer Model for High-Resolution Image and Time-Series AnalysisCode1
ReMamber: Referring Image Segmentation with Mamba TwisterCode1
Clustering Propagation for Universal Medical Image SegmentationCode1
AutoInst: Automatic Instance-Based Segmentation of LiDAR 3D ScansCode1
Deep Domain Adaptation: A Sim2Real Neural Approach for Improving Eye-Tracking SystemsCode1
MatchSeg: Towards Better Segmentation via Reference Image MatchingCode1
BSNet: Box-Supervised Simulation-assisted Mean Teacher for 3D Instance SegmentationCode1
Towards a Comprehensive, Efficient and Promptable Anatomic Structure Segmentation Model using 3D Whole-body CT ScansCode1
A Large-Scale Network Construction and Lightweighting Method for Point Cloud Semantic SegmentationCode1
OTSeg: Multi-prompt Sinkhorn Attention for Zero-Shot Semantic SegmentationCode1
CLIP-VIS: Adapting CLIP for Open-Vocabulary Video Instance SegmentationCode1
Reflectivity Is All You Need!: Advancing LiDAR Semantic SegmentationCode1
Exploring Pre-trained Text-to-Video Diffusion Models for Referring Video Object SegmentationCode1
Video Object Segmentation with Dynamic Query ModulationCode1
TAG: Guidance-free Open-Vocabulary Semantic SegmentationCode1
Stitching, Fine-tuning, Re-training: A SAM-enabled Framework for Semi-supervised 3D Medical Image SegmentationCode1
Adaptive Semantic-Enhanced Denoising Diffusion Probabilistic Model for Remote Sensing Image Super-ResolutionCode1
Active Label Correction for Semantic Segmentation with Foundation ModelsCode1
D-Net: Dynamic Large Kernel with Dynamic Feature Fusion for Volumetric Medical Image SegmentationCode1
SwinMTL: A Shared Architecture for Simultaneous Depth Estimation and Semantic Segmentation from Monocular Camera ImagesCode1
Visual Foundation Models Boost Cross-Modal Unsupervised Domain Adaptation for 3D Semantic SegmentationCode1
Real-Time Image Segmentation via Hybrid Convolutional-Transformer Architecture SearchCode1
WSI-SAM: Multi-resolution Segment Anything Model (SAM) for histopathology whole-slide imagesCode1
When Semantic Segmentation Meets Frequency AliasingCode1
StainFuser: Controlling Diffusion for Faster Neural Style Transfer in Multi-Gigapixel Histology ImagesCode1
Multiscale Low-Frequency Memory Network for Improved Feature Extraction in Convolutional Neural NetworksCode1
FluoroSAM: A Language-aligned Foundation Model for X-ray Image SegmentationCode1
Hunting Attributes: Context Prototype-Aware Learning for Weakly Supervised Semantic SegmentationCode1
Augmenting Efficient Real-time Surgical Instrument Segmentation in Video with Point Tracking and Segment AnythingCode1
Beyond Pixels: Enhancing LIME with Hierarchical Features and Segmentation Foundation ModelsCode1
CuVLER: Enhanced Unsupervised Object Discoveries through Exhaustive Self-Supervised TransformersCode1
SeSame: Simple, Easy 3D Object Detection with Point-Wise SemanticsCode1
Towards the Uncharted: Density-Descending Feature Perturbation for Semi-supervised Semantic SegmentationCode1
Style Blind Domain Generalized Semantic Segmentation via Covariance Alignment and Semantic Consistence Contrastive LearningCode1
Mask-Enhanced Segment Anything Model for Tumor Lesion Semantic SegmentationCode1
ProMISe: Promptable Medical Image Segmentation using SAMCode1
Depth-aware Test-Time Training for Zero-shot Video Object SegmentationCode1
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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