SOTAVerified

Semantic Segmentation

Papers

Showing 17511800 of 14763 papers

TitleStatusHype
Improving Visual Prompt Tuning for Self-supervised Vision TransformersCode1
TEC-Net: Vision Transformer Embrace Convolutional Neural Networks for Medical Image SegmentationCode1
CorrMatch: Label Propagation via Correlation Matching for Semi-Supervised Semantic SegmentationCode1
Contrastive Lift: 3D Object Instance Segmentation by Slow-Fast Contrastive FusionCode1
PhenoBench -- A Large Dataset and Benchmarks for Semantic Image Interpretation in the Agricultural DomainCode1
DVIS: Decoupled Video Instance Segmentation FrameworkCode1
Conditional Diffusion Models for Weakly Supervised Medical Image SegmentationCode1
Towards Label-free Scene Understanding by Vision Foundation ModelsCode1
Instructive Feature Enhancement for Dichotomous Medical Image SegmentationCode1
CiT-Net: Convolutional Neural Networks Hand in Hand with Vision Transformers for Medical Image SegmentationCode1
DFormer: Diffusion-guided Transformer for Universal Image SegmentationCode1
Accurate Fine-Grained Segmentation of Human Anatomy in Radiographs via Volumetric Pseudo-LabelingCode1
SGAT4PASS: Spherical Geometry-Aware Transformer for PAnoramic Semantic SegmentationCode1
Asymmetric Patch Sampling for Contrastive LearningCode1
Cyclic Learning: Bridging Image-level Labels and Nuclei Instance SegmentationCode1
3rd Place Solution for PVUW2023 VSS Track: A Large Model for Semantic Segmentation on VSPWCode1
Training Like a Medical Resident: Context-Prior Learning Toward Universal Medical Image SegmentationCode1
Balancing Logit Variation for Long-tailed Semantic SegmentationCode1
Content-aware Token Sharing for Efficient Semantic Segmentation with Vision TransformersCode1
Robust and Generalisable Segmentation of Subtle Epilepsy-causing Lesions: a Graph Convolutional ApproachCode1
Towards In-context Scene UnderstandingCode1
Towards Source-free Domain Adaptive Semantic Segmentation via Importance-aware and Prototype-contrast LearningCode1
Pre-Training Auto-Generated Volumetric Shapes for 3D Medical Image SegmentationCode1
S^2ME: Spatial-Spectral Mutual Teaching and Ensemble Learning for Scribble-supervised Polyp SegmentationCode1
Robust T-Loss for Medical Image SegmentationCode1
A Robust Feature Downsampling Module for Remote Sensing Visual TasksCode1
DeSAM: Decoupled Segment Anything Model for Generalizable Medical Image SegmentationCode1
Geo-Tiles for Semantic Segmentation of Earth Observation ImageryCode1
Treasure in Distribution: A Domain Randomization based Multi-Source Domain Generalization for 2D Medical Image SegmentationCode1
Fast-SNN: Fast Spiking Neural Network by Converting Quantized ANNCode1
A Unified Framework for U-Net Design and AnalysisCode1
Semi-supervised Pathological Image Segmentation via Cross Distillation of Multiple AttentionsCode1
CamoDiffusion: Camouflaged Object Detection via Conditional Diffusion ModelsCode1
CCDWT-GAN: Generative Adversarial Networks Based on Color Channel Using Discrete Wavelet Transform for Document Image BinarizationCode1
Condition-Invariant Semantic SegmentationCode1
OpenVIS: Open-vocabulary Video Instance SegmentationCode1
SOC: Semantic-Assisted Object Cluster for Referring Video Object SegmentationCode1
Detect Any Shadow: Segment Anything for Video Shadow DetectionCode1
Semantic segmentation of sparse irregular point clouds for leaf/wood discriminationCode1
GrowSP: Unsupervised Semantic Segmentation of 3D Point CloudsCode1
Energy-based Detection of Adverse Weather Effects in LiDAR DataCode1
Referred by Multi-Modality: A Unified Temporal Transformer for Video Object SegmentationCode1
NexToU: Efficient Topology-Aware U-Net for Medical Image SegmentationCode1
Self-aware and Cross-sample Prototypical Learning for Semi-supervised Medical Image SegmentationCode1
Knowledge Diffusion for DistillationCode1
GAMUS: A Geometry-aware Multi-modal Semantic Segmentation Benchmark for Remote Sensing DataCode1
An Accelerated Pipeline for Multi-label Renal Pathology Image Segmentation at the Whole Slide Image LevelCode1
VDD: Varied Drone Dataset for Semantic SegmentationCode1
FLAIR #2: textural and temporal information for semantic segmentation from multi-source optical imageryCode1
MIANet: Aggregating Unbiased Instance and General Information for Few-Shot Semantic 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
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