SOTAVerified

Semantic Segmentation

Papers

Showing 56515675 of 14763 papers

TitleStatusHype
Explicit Shape Encoding for Real-Time Instance SegmentationCode0
LiteSeg: A Novel Lightweight ConvNet for Semantic SegmentationCode0
Class-independent sequential full image segmentation, using a convolutional net that finds a segment within an attention region, given a pointer pixel within this segmentCode0
LiOn-XA: Unsupervised Domain Adaptation via LiDAR-Only Cross-Modal Adversarial TrainingCode0
Explainable Medical Image Segmentation via Generative Adversarial Networks and Layer-wise Relevance PropagationCode0
LIRA: Inferring Segmentation in Large Multi-modal Models with Local Interleaved Region AssistanceCode0
Log-DenseNet: How to Sparsify a DenseNetCode0
Line Detection and Segmentation of Annual Crops Using Hybrid MethodCode0
Classifying point clouds at the facade-level using geometric features and deep learning networksCode0
Lightweight Method for Interactive 3D Medical Image Segmentation with Multi-Round Result FusionCode0
Light-Weight RefineNet for Real-Time Semantic SegmentationCode0
Gated-SCNN: Gated Shape CNNs for Semantic SegmentationCode0
Line Graphics Digitization: A Step Towards Full AutomationCode0
Classification With an Edge: Improving Semantic Image Segmentation with Boundary DetectionCode0
Classification of Point Cloud Scenes with Multiscale Voxel Deep NetworkCode0
Expectation-Maximization Attention Networks for Semantic SegmentationCode0
Lightweight Alpha Matting Network Using Distillation-Based Channel PruningCode0
Light In The Black: An Evaluation of Data Augmentation Techniques for COVID-19 CT's Semantic SegmentationCode0
Abstracted Gaussian Prototypes for One-Shot Concept LearningCode0
Light-weight Calibrator: a Separable Component for Unsupervised Domain AdaptationCode0
Lightweight integration of 3D features to improve 2D image segmentationCode0
LiDAR guided Small obstacle SegmentationCode0
Classification and Region Analysis of COVID-19 Infection using Lung CT Images and Deep Convolutional Neural NetworksCode0
Leveraging Swin Transformer for Local-to-Global Weakly Supervised Semantic SegmentationCode0
Leveraging Semantic Segmentation Masks with Embeddings for Fine-Grained Form ClassificationCode0
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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