SOTAVerified

Semantic Segmentation

Papers

Showing 33013350 of 14763 papers

TitleStatusHype
Deep Projective 3D Semantic SegmentationCode1
Robust Semantic Segmentation in Adverse Weather Conditions by means of Fast Video-Sequence SegmentationCode1
ActionVOS: Actions as Prompts for Video Object SegmentationCode1
Data Augmentation-free Unsupervised Learning for 3D Point Cloud UnderstandingCode1
Impact of PolSAR pre-processing and balancing methods on complex-valued neural networks segmentation tasksCode1
Implicit Motion Handling for Video Camouflaged Object DetectionCode1
A Large-Scale Network Construction and Lightweighting Method for Point Cloud Semantic SegmentationCode1
Implicit Anatomical Rendering for Medical Image Segmentation with Stochastic ExpertsCode1
Implicit Feature Refinement for Instance SegmentationCode1
Implicit Integration of Superpixel Segmentation into Fully Convolutional NetworksCode1
Building a Strong Pre-Training Baseline for Universal 3D Large-Scale PerceptionCode1
DATA: Domain-Aware and Task-Aware Self-supervised LearningCode1
Automatic Data Augmentation for 3D Medical Image SegmentationCode1
Implicit-Zoo: A Large-Scale Dataset of Neural Implicit Functions for 2D Images and 3D ScenesCode1
Importance Driven Continual Learning for Segmentation Across DomainsCode1
Importance of Aligning Training Strategy with Evaluation for Diffusion Models in 3D Multiclass SegmentationCode1
LowFormer: Hardware Efficient Design for Convolutional Transformer BackbonesCode1
Deep Occlusion-Aware Instance Segmentation with Overlapping BiLayersCode1
Activate or Not: Learning Customized ActivationCode1
Data Efficient 3D Learner via Knowledge Transferred from 2D ModelCode1
Improving Aleatoric Uncertainty Quantification in Multi-Annotated Medical Image Segmentation with Normalizing FlowsCode1
Improving Across-Dataset Brain Tissue Segmentation Using TransformerCode1
Improving Convolutional Networks With Self-Calibrated ConvolutionsCode1
RT-GS2: Real-Time Generalizable Semantic Segmentation for 3D Gaussian Representations of Radiance FieldsCode1
LoveDA: A Remote Sensing Land-Cover Dataset for Domain Adaptive Semantic SegmentationCode1
Low Latency Instance Segmentation by Continuous Clustering for LiDAR SensorsCode1
Look-into-Object: Self-supervised Structure Modeling for Object RecognitionCode1
Looking Outside the Window: Wide-Context Transformer for the Semantic Segmentation of High-Resolution Remote Sensing ImagesCode1
Evaluation of Segment Anything Model 2: The Role of SAM2 in the Underwater EnvironmentCode1
Improving Segmentation of Objects with Varying Sizes in Biomedical Images using Instance-wise and Center-of-Instance Segmentation Loss FunctionCode1
LoSh: Long-Short Text Joint Prediction Network for Referring Video Object SegmentationCode1
Dataset Diffusion: Diffusion-based Synthetic Dataset Generation for Pixel-Level Semantic SegmentationCode1
DeepSatData: Building large scale datasets of satellite images for training machine learning modelsCode1
UniDA3D: Unified Domain Adaptive 3D Semantic Segmentation PipelineCode1
Look Closer to Segment Better: Boundary Patch Refinement for Instance SegmentationCode1
DatasetGAN: Efficient Labeled Data Factory with Minimal Human EffortCode1
Loss Functions in the Era of Semantic Segmentation: A Survey and OutlookCode1
Improving Sketch Colorization using Adversarial Segmentation ConsistencyCode1
Improving Stain Invariance of CNNs for Segmentation by Fusing Channel Attention and Domain-Adversarial TrainingCode1
DA-TransUNet: Integrating Spatial and Channel Dual Attention with Transformer U-Net for Medical Image SegmentationCode1
Low-Resolution Self-Attention for Semantic SegmentationCode1
Improving the Detection of Small Oriented Objects in Aerial ImagesCode1
BT-Unet: A self-supervised learning framework for biomedical image segmentation using Barlow Twins with U-Net modelsCode1
Long-Tailed Classification by Keeping the Good and Removing the Bad Momentum Causal EffectCode1
BSNet: Box-Supervised Simulation-assisted Mean Teacher for 3D Instance SegmentationCode1
Sam2Rad: A Segmentation Model for Medical Images with Learnable PromptsCode1
Learning with Unmasked Tokens Drives Stronger Vision LearnersCode1
ALGM: Adaptive Local-then-Global Token Merging for Efficient Semantic Segmentation with Plain Vision TransformersCode1
DB-SAM: Delving into High Quality Universal Medical Image SegmentationCode1
Long-tail Detection with Effective Class-MarginsCode1
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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