SOTAVerified

Semantic Segmentation

Papers

Showing 23012325 of 14763 papers

TitleStatusHype
CattleEyeView: A Multi-task Top-down View Cattle Dataset for Smarter Precision Livestock FarmingCode1
DivergentNets: Medical Image Segmentation by Network EnsembleCode1
A Deep Learning Approach to Teeth Segmentation and Orientation from Panoramic X-raysCode1
ABCNet: Attentive Bilateral Contextual Network for Efficient Semantic Segmentation of Fine-Resolution Remote Sensing ImagesCode1
Causality-inspired Single-source Domain Generalization for Medical Image SegmentationCode1
CLIP-DIY: CLIP Dense Inference Yields Open-Vocabulary Semantic Segmentation For-FreeCode1
DoDNet: Learning to segment multi-organ and tumors from multiple partially labeled datasetsCode1
DG-TTA: Out-of-domain Medical Image Segmentation through Augmentation and Descriptor-driven Domain Generalization and Test-Time AdaptationCode1
DIDFuse: Deep Image Decomposition for Infrared and Visible Image FusionCode1
DiffuseExpand: Expanding dataset for 2D medical image segmentation using diffusion modelsCode1
Deep High-Resolution Representation Learning for Visual RecognitionCode1
Domain Adaptive Video Segmentation via Temporal Pseudo SupervisionCode1
CauSSL: Causality-inspired Semi-supervised Learning for Medical Image SegmentationCode1
Dual Prototype Attention for Unsupervised Video Object SegmentationCode1
Domain generalization of 3D semantic segmentation in autonomous drivingCode1
Domain-Rectifying Adapter for Cross-Domain Few-Shot SegmentationCode1
Class-Balanced Pixel-Level Self-Labeling for Domain Adaptive Semantic SegmentationCode1
DoNet: Deep De-overlapping Network for Cytology Instance SegmentationCode1
DEU-Net: Dual-Encoder U-Net for Automated Skin Lesion SegmentationCode1
A deeply supervised image fusion network for change detection in high resolution bi-temporal remote sensing imagesCode1
CC-Net: Image Complexity Guided Network Compression for Biomedical Image SegmentationCode1
DoUnseen: Tuning-Free Class-Adaptive Object Detection of Unseen Objects for Robotic GraspingCode1
DETRs with Hybrid MatchingCode1
Devil is in Channels: Contrastive Single Domain Generalization for Medical Image SegmentationCode1
Anomaly Detection-Inspired Few-Shot Medical Image Segmentation Through Self-Supervision With SupervoxelsCode1
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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