SOTAVerified

Semantic Segmentation

Papers

Showing 12011250 of 14763 papers

TitleStatusHype
DIVA-DAF: A Deep Learning Framework for Historical Document Image AnalysisCode1
MAPSeg: Unified Unsupervised Domain Adaptation for Heterogeneous Medical Image Segmentation Based on 3D Masked Autoencoding and Pseudo-LabelingCode1
A Generalized Framework for Video Instance SegmentationCode1
DivergentNets: Medical Image Segmentation by Network EnsembleCode1
DLA-Net: Learning Dual Local Attention Features for Semantic Segmentation of Large-Scale Building Facade Point CloudsCode1
A Generalized Deep Learning Framework for Whole-Slide Image Segmentation and AnalysisCode1
CascadePSP: Toward Class-Agnostic and Very High-Resolution Segmentation via Global and Local RefinementCode1
Manhattan Room Layout Reconstruction from a Single 360 image: A Comparative Study of State-of-the-art MethodsCode1
CASAPose: Class-Adaptive and Semantic-Aware Multi-Object Pose EstimationCode1
Distribution Alignment: A Unified Framework for Long-tail Visual RecognitionCode1
A comparative study of 2D image segmentation algorithms for traumatic brain lesions using CT data from the ProTECTIII multicenter clinical trialCode1
CEKD: Cross-Modal Edge-Privileged Knowledge Distillation for Semantic Scene Understanding Using Only Thermal ImagesCode1
3DLabelProp: Geometric-Driven Domain Generalization for LiDAR Semantic Segmentation in Autonomous DrivingCode1
BSUV-Net: A Fully-Convolutional Neural Network for Background Subtraction of Unseen VideosCode1
Cars Can't Fly up in the Sky: Improving Urban-Scene Segmentation via Height-driven Attention NetworksCode1
Distilling Knowledge via Knowledge ReviewCode1
Distribution-Aware Continual Test-Time Adaptation for Semantic SegmentationCode1
DMT-JEPA: Discriminative Masked Targets for Joint-Embedding Predictive ArchitectureCode1
Domain Adaptive Video Segmentation via Temporal Pseudo SupervisionCode1
CARD: Semantic Segmentation with Efficient Class-Aware Regularized DecoderCode1
A Comparative Evaluation of Deep Learning Techniques for Photovoltaic Panel Detection from Aerial ImagesCode1
Disentangle then Parse: Night-time Semantic Segmentation with Illumination DisentanglementCode1
CAR: Class-aware Regularizations for Semantic SegmentationCode1
Cardiac Segmentation with Strong Anatomical GuaranteesCode1
CARIS: Context-Augmented Referring Image SegmentationCode1
Disjoint Masking with Joint Distillation for Efficient Masked Image ModelingCode1
SofGAN: A Portrait Image Generator with Dynamic StylingCode1
Disentangled Representations for Domain-generalized Cardiac SegmentationCode1
Capturing Omni-Range Context for Omnidirectional SegmentationCode1
Disentangled Non-Local Neural NetworksCode1
Disentangle then Parse:Night-time Semantic Segmentation with Illumination DisentanglementCode1
Dispel Darkness for Better Fusion: A Controllable Visual Enhancer based on Cross-modal Conditional Adversarial LearningCode1
A framework for large-scale mapping of human settlement extent from Sentinel-2 images via fully convolutional neural networksCode1
Discovering Object Masks with Transformers for Unsupervised Semantic SegmentationCode1
Discrepancy Matters: Learning from Inconsistent Decoder Features for Consistent Semi-supervised Medical Image SegmentationCode1
Directional Deep Embedding and Appearance Learning for Fast Video Object SegmentationCode1
Can SAM Segment Anything? When SAM Meets Camouflaged Object DetectionCode1
Dirichlet-based Uncertainty Calibration for Active Domain AdaptationCode1
Discriminative Region Suppression for Weakly-Supervised Semantic SegmentationCode1
CA-Net: Comprehensive Attention Convolutional Neural Networks for Explainable Medical Image SegmentationCode1
DIOD: Self-Distillation Meets Object DiscoveryCode1
A Flexible 2.5D Medical Image Segmentation Approach with In-Slice and Cross-Slice AttentionCode1
CamSAM2: Segment Anything Accurately in Camouflaged VideosCode1
Directional Connectivity-based Segmentation of Medical ImagesCode1
Learning Spatio-Appearance Memory Network for High-Performance Visual TrackingCode1
Dissecting Self-Supervised Learning Methods for Surgical Computer VisionCode1
Cal-SFDA: Source-Free Domain-adaptive Semantic Segmentation with Differentiable Expected Calibration ErrorCode1
DilateFormer: Multi-Scale Dilated Transformer for Visual RecognitionCode1
A Closer Look at Self-training for Zero-Label Semantic SegmentationCode1
Affinity Space Adaptation for Semantic Segmentation Across DomainsCode1
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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