SOTAVerified

Semantic Segmentation

Papers

Showing 29513000 of 14763 papers

TitleStatusHype
Contrastive learning of global and local features for medical image segmentation with limited annotationsCode1
Calibrated Adversarial Refinement for Stochastic Semantic SegmentationCode1
Open Source Presentation Attack Detection Baseline for Iris RecognitionCode1
Contrastive Lift: 3D Object Instance Segmentation by Slow-Fast Contrastive FusionCode1
Contrastive Masked Autoencoders are Stronger Vision LearnersCode1
Contrastive Model Adaptation for Cross-Condition Robustness in Semantic SegmentationCode1
LaPE: Layer-adaptive Position Embedding for Vision Transformers with Independent Layer NormalizationCode1
CalibNet: Dual-branch Cross-modal Calibration for RGB-D Salient Instance SegmentationCode1
Dataset Diffusion: Diffusion-based Synthetic Dataset Generation for Pixel-Level Semantic SegmentationCode1
LangXAI: Integrating Large Vision Models for Generating Textual Explanations to Enhance Explainability in Visual Perception TasksCode1
Contrastive Registration for Unsupervised Medical Image SegmentationCode1
AttaNet: Attention-Augmented Network for Fast and Accurate Scene ParsingCode1
Laplacian2Mesh: Laplacian-Based Mesh UnderstandingCode1
Few-Shot Medical Image Segmentation with High-Fidelity PrototypesCode1
Contrastive Semi-supervised Learning for Domain Adaptive Segmentation Across Similar Anatomical StructuresCode1
Few-Shot Panoptic Segmentation With Foundation ModelsCode1
Contrastive Transformation for Self-supervised Correspondence LearningCode1
A Generalized Deep Learning Framework for Whole-Slide Image Segmentation and AnalysisCode1
DATA: Domain-Aware and Task-Aware Self-supervised LearningCode1
Open-Vocabulary Semantic Segmentation with Image Embedding BalancingCode1
Language-Grounded Indoor 3D Semantic Segmentation in the WildCode1
Few-Shot Segmentation via Cycle-Consistent TransformerCode1
Data Efficient 3D Learner via Knowledge Transferred from 2D ModelCode1
First Place Solution to the ECCV 2024 BRAVO Challenge: Evaluating Robustness of Vision Foundation Models for Semantic SegmentationCode1
Language Guided Domain Generalized Medical Image SegmentationCode1
FIERY: Future Instance Prediction in Bird's-Eye View from Surround Monocular CamerasCode1
Laplacian-Former: Overcoming the Limitations of Vision Transformers in Local Texture DetectionCode1
Convex Hull-based Algebraic Constraint for Visual Quadric SLAMCode1
Unified Domain Adaptive Semantic SegmentationCode1
FGAseg: Fine-Grained Pixel-Text Alignment for Open-Vocabulary Semantic SegmentationCode1
FG-Net: Fast Large-Scale LiDAR Point Clouds Understanding Network Leveraging Correlated Feature Mining and Geometric-Aware ModellingCode1
FIDNet: LiDAR Point Cloud Semantic Segmentation with Fully Interpolation DecodingCode1
An Instance Segmentation Dataset of Yeast Cells in MicrostructuresCode1
Language-Assisted 3D Feature Learning for Semantic Scene UnderstandingCode1
Finding an Unsupervised Image Segmenter in Each of Your Deep Generative ModelsCode1
ConvFormer: Plug-and-Play CNN-Style Transformers for Improving Medical Image SegmentationCode1
An Informative Path Planning Framework for Active Learning in UAV-based Semantic MappingCode1
OTSeg: Multi-prompt Sinkhorn Attention for Zero-Shot Semantic SegmentationCode1
ConvMLP: Hierarchical Convolutional MLPs for VisionCode1
ConvNet Architecture Search for Spatiotemporal Feature LearningCode1
Language-Bridged Spatial-Temporal Interaction for Referring Video Object SegmentationCode1
360BEV: Panoramic Semantic Mapping for Indoor Bird's-Eye ViewCode1
Fine-grained Image Editing by Pixel-wise Guidance Using Diffusion ModelsCode1
CAD: Memory Efficient Convolutional Adapter for Segment AnythingCode1
FipTR: A Simple yet Effective Transformer Framework for Future Instance Prediction in Autonomous DrivingCode1
Paced-Curriculum Distillation with Prediction and Label Uncertainty for Image SegmentationCode1
Attention-based Transformation from Latent Features to Point CloudsCode1
FinnWoodlands DatasetCode1
DeepVoxNet2: Yet another CNN frameworkCode1
Data Augmentation-free Unsupervised Learning for 3D Point Cloud UnderstandingCode1
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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