SOTAVerified

Semantic Segmentation

Papers

Showing 23262350 of 14763 papers

TitleStatusHype
Event-Free Moving Object Segmentation from Moving Ego VehicleCode1
CDNet: Centripetal Direction Network for Nuclear Instance SegmentationCode1
DFormer: Diffusion-guided Transformer for Universal Image SegmentationCode1
DS-TransUNet:Dual Swin Transformer U-Net for Medical Image SegmentationCode1
DTBS: Dual-Teacher Bi-directional Self-training for Domain Adaptation in Nighttime Semantic SegmentationCode1
DualConv: Dual Convolutional Kernels for Lightweight Deep Neural NetworksCode1
CEKD: Cross-Modal Edge-Privileged Knowledge Distillation for Semantic Scene Understanding Using Only Thermal ImagesCode1
Dual-Domain Image Synthesis using Segmentation-Guided GANCode1
Dual Graph Convolutional Network for Semantic SegmentationCode1
Anti-Adversarially Manipulated Attributions for Weakly and Semi-Supervised Semantic SegmentationCode1
Panoptic Feature Fusion Net: A Novel Instance Segmentation Paradigm for Biomedical and Biological ImagesCode1
Scaling Out-of-Distribution Detection for Real-World SettingsCode1
Dual Progressive Transformations for Weakly Supervised Semantic SegmentationCode1
Anomaly Detection-Inspired Few-Shot Medical Image Segmentation Through Self-Supervision With SupervoxelsCode1
ClevrTex: A Texture-Rich Benchmark for Unsupervised Multi-Object SegmentationCode1
ADeLA: Automatic Dense Labeling with Attention for Viewpoint Adaptation in Semantic SegmentationCode1
DuAT: Dual-Aggregation Transformer Network for Medical Image SegmentationCode1
DHC: Dual-debiased Heterogeneous Co-training Framework for Class-imbalanced Semi-supervised Medical Image SegmentationCode1
CellVTA: Enhancing Vision Foundation Models for Accurate Cell Segmentation and ClassificationCode1
BUSIS: A Benchmark for Breast Ultrasound Image SegmentationCode1
DVIS: Decoupled Video Instance Segmentation FrameworkCode1
CENet: Context Enhancement Network for Medical Image SegmentationCode1
CENet: Toward Concise and Efficient LiDAR Semantic Segmentation for Autonomous DrivingCode1
DynaMask: Dynamic Mask Selection for Instance SegmentationCode1
Devil is in Channels: Contrastive Single Domain Generalization for Medical Image SegmentationCode1
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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
4InternImage-HValidation mIoU62.9Unverified
5M3I Pre-training (InternImage-H)Validation 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