SOTAVerified

Semantic Segmentation

Papers

Showing 47264750 of 14763 papers

TitleStatusHype
Automatic Generation of Semantic Parts for Face Image SynthesisCode0
Multi-encoder parse-decoder network for sequential medical image segmentationCode0
Importance Sampling CAMs for Weakly-Supervised SegmentationCode0
Multi-domain semantic segmentation with overlapping labelsCode0
Multi-grained Temporal Prototype Learning for Few-shot Video Object SegmentationCode0
Multi-Granularity Denoising and Bidirectional Alignment for Weakly Supervised Semantic SegmentationCode0
Multi-label Cloud Segmentation Using a Deep NetworkCode0
Multi-modality Anomaly Segmentation on the RoadCode0
Multi-sensor cloud and cloud shadow segmentation with a convolutional neural networkCode0
Multichannel Semantic Segmentation with Unsupervised Domain AdaptationCode0
Data-Free Adversarial DistillationCode0
Data exploitation: multi-task learning of object detection and semantic segmentation on partially annotated dataCode0
ALBA : Reinforcement Learning for Video Object SegmentationCode0
Multi-Aperture Fusion of Transformer-Convolutional Network (MFTC-Net) for 3D Medical Image Segmentation and VisualizationCode0
A Late-Stage Bitemporal Feature Fusion Network for Semantic Change DetectionCode0
MuGNet: Multi-Resolution Graph Neural Network for Large-Scale Pointcloud SegmentationCode0
Data-driven approaches for electrical impedance tomography image segmentation from partial boundary dataCode0
DATA: Differentiable ArchiTecture ApproximationCode0
3D-PointZshotS: Geometry-Aware 3D Point Cloud Zero-Shot Semantic Segmentation Narrowing the Visual-Semantic GapCode0
MTNeuro: A Benchmark for Evaluating Representations of Brain Structure Across Multiple Levels of AbstractionCode0
Datacube segmentation via Deep Spectral ClusteringCode0
Data augmentation using learned transformations for one-shot medical image segmentationCode0
MSN: Efficient Online Mask Selection Network for Video Instance SegmentationCode0
MSG-SR-Net: A Weakly Supervised Network Integrating Multi-Scale Generation and Super-Pixel Refinement for Building Extraction from High-Resolution Remotely Sensed ImageriesCode0
Data-Agnostic Augmentations for Unknown Variations: Out-of-Distribution Generalisation in MRI SegmentationCode0
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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