SOTAVerified

Semantic Segmentation

Papers

Showing 11011150 of 14763 papers

TitleStatusHype
Cardiac Segmentation with Strong Anatomical GuaranteesCode1
DIAL: Deep Interactive and Active Learning for Semantic Segmentation in Remote SensingCode1
Differentiable Soft-Masked AttentionCode1
DiGA: Distil to Generalize and then Adapt for Domain Adaptive Semantic SegmentationCode1
Campus3D: A Photogrammetry Point Cloud Benchmark for Hierarchical Understanding of Outdoor SceneCode1
A Contrastive Distillation Approach for Incremental Semantic Segmentation in Aerial ImagesCode1
DEU-Net: Dual-Encoder U-Net for Automated Skin Lesion SegmentationCode1
CamoDiffusion: Camouflaged Object Detection via Conditional Diffusion ModelsCode1
Camouflaged Object Segmentation with Distraction MiningCode1
CamSAM2: Segment Anything Accurately in Camouflaged VideosCode1
Devil is in Channels: Contrastive Single Domain Generalization for Medical Image SegmentationCode1
AIF-SFDA: Autonomous Information Filter-driven Source-Free Domain Adaptation for Medical Image SegmentationCode1
A context based deep learning approach for unbalanced medical image segmentationCode1
Detection and Segmentation of Lesion Areas in Chest CT Scans For The Prediction of COVID-19Code1
Cal-SFDA: Source-Free Domain-adaptive Semantic Segmentation with Differentiable Expected Calibration ErrorCode1
DETRs with Hybrid MatchingCode1
DeVIS: Making Deformable Transformers Work for Video Instance SegmentationCode1
CalibNet: Dual-branch Cross-modal Calibration for RGB-D Salient Instance SegmentationCode1
A Concise Tiling Strategy for Preserving Spatial Context in Earth Observation ImageryCode1
Calibrated Adversarial Refinement for Stochastic Semantic SegmentationCode1
Annotation-efficient deep learning for automatic medical image segmentationCode1
1M parameters are enough? A lightweight CNN-based model for medical image segmentationCode1
Detect, consolidate, delineate: scalable mapping of field boundaries using satellite imagesCode1
Detecting Anomalies in Semantic Segmentation with PrototypesCode1
AICSD: Adaptive Inter-Class Similarity Distillation for Semantic SegmentationCode1
Cached Transformers: Improving Transformers with Differentiable Memory CacheCode1
CAD: Memory Efficient Convolutional Adapter for Segment AnythingCode1
C3S3: Complementary Competition and Contrastive Selection for Semi-Supervised Medical Image SegmentationCode1
3D MRI Synthesis with Slice-Based Latent Diffusion Models: Improving Tumor Segmentation Tasks in Data-Scarce RegimesCode1
Channelized Axial Attention for Semantic Segmentation -- Considering Channel Relation within Spatial Attention for Semantic SegmentationCode1
Detect Any Shadow: Segment Anything for Video Shadow DetectionCode1
Detection and Retrieval of Out-of-Distribution Objects in Semantic SegmentationCode1
D-Former: A U-shaped Dilated Transformer for 3D Medical Image SegmentationCode1
DeRIS: Decoupling Perception and Cognition for Enhanced Referring Image Segmentation through Loopback SynergyCode1
BURST: A Benchmark for Unifying Object Recognition, Segmentation and Tracking in VideoCode1
DermSynth3D: Synthesis of in-the-wild Annotated Dermatology ImagesCode1
Building Extraction from Remote Sensing Images via an Uncertainty-Aware NetworkCode1
BuildingNet: Learning to Label 3D BuildingsCode1
DeSAM: Decoupled Segment Anything Model for Generalizable Medical Image SegmentationCode1
Depth Based Semantic Scene Completion with Position Importance Aware LossCode1
Depth-based 6DoF Object Pose Estimation using Swin TransformerCode1
Depthformer : Multiscale Vision Transformer For Monocular Depth Estimation With Local Global Information FusionCode1
BT-Unet: A self-supervised learning framework for biomedical image segmentation using Barlow Twins with U-Net modelsCode1
3D-MPA: Multi-Proposal Aggregation for 3D Semantic Instance SegmentationCode1
Building a Strong Pre-Training Baseline for Universal 3D Large-Scale PerceptionCode1
Depth-Wise Convolutions in Vision Transformers for Efficient Training on Small DatasetsCode1
Condition-Invariant Semantic SegmentationCode1
Bridging Vision and Language Encoders: Parameter-Efficient Tuning for Referring Image SegmentationCode1
Depth-Assisted ResiDualGAN for Cross-Domain Aerial Images Semantic SegmentationCode1
Bridging the Domain Gap: Self-Supervised 3D Scene Understanding with Foundation ModelsCode1
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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