SOTAVerified

Semantic Segmentation

Papers

Showing 60016025 of 14763 papers

TitleStatusHype
End to End Trainable Active Contours via Differentiable RenderingCode0
Learning Non-Unique Segmentation with Reward-Penalty Dice LossCode0
End-to-end semantic segmentation of personalized deep brain structures for non-invasive brain stimulationCode0
A Novel Visual Representation on Text Using Diverse Conditional GAN for Visual RecognitionCode0
Learning Multimodal Volumetric Features for Large-Scale Neuron TracingCode0
Learning Instance Segmentation by InteractionCode0
Learning Instance Occlusion for Panoptic SegmentationCode0
CDPDNet: Integrating Text Guidance with Hybrid Vision Encoders for Medical Image SegmentationCode0
End-to-End Instance Segmentation with Recurrent AttentionCode0
A Benchmark Dataset and Evaluation Methodology for Video Object SegmentationCode0
Learning of Image Dehazing Models for Segmentation TasksCode0
HaDR: Applying Domain Randomization for Generating Synthetic Multimodal Dataset for Hand Instance Segmentation in Cluttered Industrial EnvironmentsCode0
C-DLinkNet: considering multi-level semantic features for human parsingCode0
ReSeg: A Recurrent Neural Network-based Model for Semantic SegmentationCode0
Learning from the Web: Language Drives Weakly-Supervised Incremental Learning for Semantic SegmentationCode0
Learning from Spatio-temporal Correlation for Semi-Supervised LiDAR Semantic SegmentationCode0
Learning from Pattern Completion: Self-supervised Controllable GenerationCode0
End-to-End Change Detection for High Resolution Satellite Images Using Improved UNet++Code0
Learning from Scale-Invariant Examples for Domain Adaptation in Semantic SegmentationCode0
Learning Free-Form Deformations for 3D Object ReconstructionCode0
CCNet: Criss-Cross Attention for Semantic SegmentationCode0
Learning from imperfect training data using a robust loss function: application to brain image segmentationCode0
C-CAM: Causal CAM for Weakly Supervised Semantic Segmentation on Medical ImageCode0
Learning Deep Representations Using Convolutional Auto-encoders with Symmetric Skip ConnectionsCode0
Learning Deconvolution Network for Semantic 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