SOTAVerified

Semantic Segmentation

Papers

Showing 10511100 of 14763 papers

TitleStatusHype
Evaluation of Segment Anything Model 2: The Role of SAM2 in the Underwater EnvironmentCode1
Data Efficient 3D Learner via Knowledge Transferred from 2D ModelCode1
Decoder Denoising Pretraining for Semantic SegmentationCode1
Deep Domain Adaptation: A Sim2Real Neural Approach for Improving Eye-Tracking SystemsCode1
DeiT III: Revenge of the ViTCode1
DAE-Former: Dual Attention-guided Efficient Transformer for Medical Image SegmentationCode1
Activate or Not: Learning Customized ActivationCode1
DAFormer: Improving Network Architectures and Training Strategies for Domain-Adaptive Semantic SegmentationCode1
dacl10k: Benchmark for Semantic Bridge Damage SegmentationCode1
DAAIN: Detection of Anomalous and Adversarial Input using Normalizing FlowsCode1
DACS: Domain Adaptation via Cross-domain Mixed SamplingCode1
A Large-Scale Network Construction and Lightweighting Method for Point Cloud Semantic SegmentationCode1
ActionVOS: Actions as Prompts for Video Object SegmentationCode1
D2Det: Towards High Quality Object Detection and Instance SegmentationCode1
A Large-Scale Benchmark for Food Image SegmentationCode1
ACTION++: Improving Semi-supervised Medical Image Segmentation with Adaptive Anatomical ContrastCode1
D3RM: A Discrete Denoising Diffusion Refinement Model for Piano TranscriptionCode1
DANNet: A One-Stage Domain Adaptation Network for Unsupervised Nighttime Semantic SegmentationCode1
Cylindrical and Asymmetrical 3D Convolution Networks for LiDAR-based PerceptionCode1
D2A U-Net: Automatic Segmentation of COVID-19 Lesions from CT Slices with Dilated Convolution and Dual Attention MechanismCode1
Cyclic Learning: Bridging Image-level Labels and Nuclei Instance SegmentationCode1
CycleMLP: A MLP-like Architecture for Dense PredictionCode1
Cylinder3D: An Effective 3D Framework for Driving-scene LiDAR Semantic SegmentationCode1
D^2Conv3D: Dynamic Dilated Convolutions for Object Segmentation in VideosCode1
CuVLER: Enhanced Unsupervised Object Discoveries through Exhaustive Self-Supervised TransformersCode1
Cutting-edge 3D Medical Image Segmentation Methods in 2020: Are Happy Families All Alike?Code1
CV 3315 Is All You Need : Semantic Segmentation CompetitionCode1
A Recycling Training Strategy for Medical Image Segmentation with Diffusion Denoising ModelsCode1
A Real-Time Online Learning Framework for Joint 3D Reconstruction and Semantic Segmentation of Indoor ScenesCode1
CUTS: A Deep Learning and Topological Framework for Multigranular Unsupervised Medical Image SegmentationCode1
CycleMix: A Holistic Strategy for Medical Image Segmentation from Scribble SupervisionCode1
D2Conv3D: Dynamic Dilated Convolutions for Object Segmentation in VideosCode1
Unified Domain Adaptive Semantic SegmentationCode1
ARCH2S: Dataset, Benchmark and Challenges for Learning Exterior Architectural Structures from Point CloudsCode1
Curriculum-style Local-to-global Adaptation for Cross-domain Remote Sensing Image SegmentationCode1
AISFormer: Amodal Instance Segmentation with TransformerCode1
1st Place Solution for 5th LSVOS Challenge: Referring Video Object SegmentationCode1
CTNet: Context-based Tandem Network for Semantic SegmentationCode1
AI-SAM: Automatic and Interactive Segment Anything ModelCode1
CTVIS: Consistent Training for Online Video Instance SegmentationCode1
CSWin Transformer: A General Vision Transformer Backbone with Cross-Shaped WindowsCode1
3D Part Guided Image Editing for Fine-Grained Object UnderstandingCode1
CSWin-UNet: Transformer UNet with Cross-Shaped Windows for Medical Image SegmentationCode1
Curriculum Model Adaptation with Synthetic and Real Data for Semantic Foggy Scene UnderstandingCode1
CSC-PA: Cross-image Semantic Correlation via Prototype Attentions for Single-network Semi-supervised Breast Tumor SegmentationCode1
CSAM: A 2.5D Cross-Slice Attention Module for Anisotropic Volumetric Medical Image SegmentationCode1
CSC-Unet: A Novel Convolutional Sparse Coding Strategy Based Neural Network for Semantic SegmentationCode1
AI Playground: Unreal Engine-based Data Ablation Tool for Deep LearningCode1
AIO-P: Expanding Neural Performance Predictors Beyond Image ClassificationCode1
CryoNuSeg: A Dataset for Nuclei Instance Segmentation of Cryosectioned H&E-Stained Histological ImagesCode1
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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