SOTAVerified

Semantic Segmentation

Papers

Showing 64766500 of 14763 papers

TitleStatusHype
CoMFormer: Continual Learning in Semantic and Panoptic Segmentation0
Language-Assisted 3D Feature Learning for Semantic Scene UnderstandingCode1
Cross-Domain Ensemble Distillation for Domain GeneralizationCode1
MUSTER: A Multi-scale Transformer-based Decoder for Semantic SegmentationCode1
Contrastive pretraining for semantic segmentation is robust to noisy positive pairs0
CasFusionNet: A Cascaded Network for Point Cloud Semantic Scene Completion by Dense Feature FusionCode1
Joint segmentation and discontinuity-preserving deformable registration: Application to cardiac cine-MR imagesCode0
A Benchmark of Long-tailed Instance Segmentation with Noisy LabelsCode0
How do Cross-View and Cross-Modal Alignment Affect Representations in Contrastive Learning?0
FLAIR #1: semantic segmentation and domain adaptation datasetCode1
Fast-iTPN: Integrally Pre-Trained Transformer Pyramid Network with Token MigrationCode2
EurNet: Efficient Multi-Range Relational Modeling of Spatial Multi-Relational DataCode0
One Class One Click: Quasi Scene-level Weakly Supervised Point Cloud Semantic Segmentation with Active Learning0
SPCXR: Self-supervised Pretraining using Chest X-rays Towards a Domain Specific Foundation Model0
Peekaboo: Text to Image Diffusion Models are Zero-Shot SegmentorsCode1
Rethinking Implicit Neural Representations for Vision Learners0
ONeRF: Unsupervised 3D Object Segmentation from Multiple Views0
Dual Prototype Attention for Unsupervised Video Object SegmentationCode1
Conv2Former: A Simple Transformer-Style ConvNet for Visual RecognitionCode1
CDDSA: Contrastive Domain Disentanglement and Style Augmentation for Generalizable Medical Image SegmentationCode1
ISIM: Iterative Self-Improved Model for Weakly Supervised SegmentationCode1
Synthetic Data for Semantic Image Segmentation of Imagery of Unmanned Spacecraft0
OCTET: Object-aware Counterfactual ExplanationsCode1
VBLC: Visibility Boosting and Logit-Constraint Learning for Domain Adaptive Semantic Segmentation under Adverse ConditionsCode1
Progressive Learning with Cross-Window Consistency for Semi-Supervised Semantic Segmentation0
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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