SOTAVerified

Semantic Segmentation

Papers

Showing 12011250 of 14763 papers

TitleStatusHype
Manhattan Room Layout Reconstruction from a Single 360 image: A Comparative Study of State-of-the-art MethodsCode1
DEAL: Difficulty-aware Active Learning for Semantic SegmentationCode1
Decoder Denoising Pretraining for Semantic SegmentationCode1
ASSET: Autoregressive Semantic Scene Editing with Transformers at High ResolutionsCode1
A comparative study of 2D image segmentation algorithms for traumatic brain lesions using CT data from the ProTECTIII multicenter clinical trialCode1
DC-UNet: Rethinking the U-Net Architecture with Dual Channel Efficient CNN for Medical Images SegmentationCode1
3DLabelProp: Geometric-Driven Domain Generalization for LiDAR Semantic Segmentation in Autonomous DrivingCode1
BSUV-Net: A Fully-Convolutional Neural Network for Background Subtraction of Unseen VideosCode1
A Stitch in Time Saves Nine: A Train-Time Regularizing Loss for Improved Neural Network CalibrationCode1
DDANet: Dual Decoder Attention Network for Automatic Polyp SegmentationCode1
Decomposed Knowledge Distillation for Class-Incremental Semantic SegmentationCode1
Deep Active Learning for Axon-Myelin Segmentation on Histology DataCode1
Deep learning based geometric registration for medical images: How accurate can we get without visual features?Code1
A Comparative Evaluation of Deep Learning Techniques for Photovoltaic Panel Detection from Aerial ImagesCode1
DB-SAM: Delving into High Quality Universal Medical Image SegmentationCode1
DA-TransUNet: Integrating Spatial and Channel Dual Attention with Transformer U-Net for Medical Image SegmentationCode1
DC-SAM: In-Context Segment Anything in Images and Videos via Dual ConsistencyCode1
SofGAN: A Portrait Image Generator with Dynamic StylingCode1
Dataset Enhancement with Instance-Level AugmentationsCode1
Data-Free Quantization Through Weight Equalization and Bias CorrectionCode1
Data Efficient 3D Learner via Knowledge Transferred from 2D ModelCode1
Dataset Diffusion: Diffusion-based Synthetic Dataset Generation for Pixel-Level Semantic SegmentationCode1
DatasetGAN: Efficient Labeled Data Factory with Minimal Human EffortCode1
DCSAU-Net: A Deeper and More Compact Split-Attention U-Net for Medical Image SegmentationCode1
A framework for large-scale mapping of human settlement extent from Sentinel-2 images via fully convolutional neural networksCode1
DANNet: A One-Stage Domain Adaptation Network for Unsupervised Nighttime Semantic SegmentationCode1
Unified Domain Adaptive Semantic SegmentationCode1
DAFormer: Improving Network Architectures and Training Strategies for Domain-Adaptive Semantic SegmentationCode1
DAE-Former: Dual Attention-guided Efficient Transformer for Medical Image SegmentationCode1
Data Augmentation-free Unsupervised Learning for 3D Point Cloud UnderstandingCode1
DAAIN: Detection of Anomalous and Adversarial Input using Normalizing FlowsCode1
D3RM: A Discrete Denoising Diffusion Refinement Model for Piano TranscriptionCode1
dacl10k: Benchmark for Semantic Bridge Damage SegmentationCode1
A Flexible 2.5D Medical Image Segmentation Approach with In-Slice and Cross-Slice AttentionCode1
D2Det: Towards High Quality Object Detection and Instance SegmentationCode1
DACS: Domain Adaptation via Cross-domain Mixed SamplingCode1
DATA: Domain-Aware and Task-Aware Self-supervised LearningCode1
DCSEG: Decoupled 3D Open-Set Segmentation using Gaussian SplattingCode1
Cylinder3D: An Effective 3D Framework for Driving-scene LiDAR Semantic SegmentationCode1
Cyclic Learning: Bridging Image-level Labels and Nuclei Instance SegmentationCode1
Cylindrical and Asymmetrical 3D Convolution Networks for LiDAR-based PerceptionCode1
A Closer Look at Self-training for Zero-Label Semantic SegmentationCode1
Affinity Space Adaptation for Semantic Segmentation Across DomainsCode1
CycleMLP: A MLP-like Architecture for Dense PredictionCode1
D2A U-Net: Automatic Segmentation of COVID-19 Lesions from CT Slices with Dilated Convolution and Dual Attention MechanismCode1
3D Instances as 1D KernelsCode1
Affinity Fusion Graph-based Framework for Natural Image SegmentationCode1
CV 3315 Is All You Need : Semantic Segmentation CompetitionCode1
Cutting-edge 3D Medical Image Segmentation Methods in 2020: Are Happy Families All Alike?Code1
MutualNet: Adaptive ConvNet via Mutual Learning from Network Width and ResolutionCode1
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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