SOTAVerified

Semantic Segmentation

Papers

Showing 21512200 of 14763 papers

TitleStatusHype
ALSO: Automotive Lidar Self-supervision by Occupancy estimationCode1
DeepCut: Unsupervised Segmentation using Graph Neural Networks ClusteringCode1
YoloCurvSeg: You Only Label One Noisy Skeleton for Vessel-style Curvilinear Structure SegmentationCode1
Source-free Depth for Object Pop-outCode1
Benchmarking Self-Supervised Learning on Diverse Pathology DatasetsCode1
Augmentation Matters: A Simple-yet-Effective Approach to Semi-supervised Semantic SegmentationCode1
Open Vocabulary Semantic Segmentation with Patch Aligned Contrastive LearningCode1
Weakly Supervised Semantic Segmentation for Large-Scale Point CloudCode1
Latent Graph Representations for Critical View of Safety AssessmentCode1
EPCL: Frozen CLIP Transformer is An Efficient Point Cloud EncoderCode1
X-Paste: Revisiting Scalable Copy-Paste for Instance Segmentation using CLIP and StableDiffusionCode1
LWSIS: LiDAR-guided Weakly Supervised Instance Segmentation for Autonomous DrivingCode1
Domain generalization of 3D semantic segmentation in autonomous drivingCode1
MEDIAR: Harmony of Data-Centric and Model-Centric for Multi-Modality MicroscopyCode1
Iterative Next Boundary Detection for Instance Segmentation of Tree Rings in Microscopy Images of Shrub Cross SectionsCode1
Union-set Multi-source Model Adaptation for Semantic SegmentationCode1
IncepFormer: Efficient Inception Transformer with Pyramid Pooling for Semantic SegmentationCode1
PØDA: Prompt-driven Zero-shot Domain AdaptationCode1
Window Normalization: Enhancing Point Cloud Understanding by Unifying Inconsistent Point DensitiesCode1
Fine-grained Image Editing by Pixel-wise Guidance Using Diffusion ModelsCode1
Learning to Learn Better for Video Object SegmentationCode1
FedUKD: Federated UNet Model with Knowledge Distillation for Land Use Classification from Satellite and Street ViewsCode1
SASFormer: Transformers for Sparsely Annotated Semantic SegmentationCode1
LE-UDA: Label-efficient unsupervised domain adaptation for medical image segmentationCode1
Med-Query: Steerable Parsing of 9-DoF Medical Anatomies with Query EmbeddingCode1
PASTA: Proportional Amplitude Spectrum Training Augmentation for Syn-to-Real Domain GeneralizationCode1
Multi-Class Segmentation from Aerial Views using Recursive Noise DiffusionCode1
ResFormer: Scaling ViTs with Multi-Resolution TrainingCode1
Learning to Generate Text-grounded Mask for Open-world Semantic Segmentation from Only Image-Text PairsCode1
Hyperbolic Contrastive Learning for Visual Representations beyond ObjectsCode1
Unite and Conquer: Plug & Play Multi-Modal Synthesis using Diffusion ModelsCode1
Conservative-Progressive Collaborative Learning for Semi-supervised Semantic SegmentationCode1
AIO-P: Expanding Neural Performance Predictors Beyond Image ClassificationCode1
Three-stage binarization of color document images based on discrete wavelet transform and generative adversarial networksCode1
FsaNet: Frequency Self-attention for Semantic SegmentationCode1
Class Adaptive Network CalibrationCode1
Learning Dense Object Descriptors from Multiple Views for Low-shot Category GeneralizationCode1
Superpoint Transformer for 3D Scene Instance SegmentationCode1
Topologically faithful image segmentation via induced matching of persistence barcodesCode1
SegCLIP: Patch Aggregation with Learnable Centers for Open-Vocabulary Semantic SegmentationCode1
Rethinking Data Augmentation for Single-source Domain Generalization in Medical Image SegmentationCode1
Exploring Consistency in Cross-Domain Transformer for Domain Adaptive Semantic SegmentationCode1
1st Place Solution to NeurIPS 2022 Challenge on Visual Domain AdaptationCode1
Residual Pattern Learning for Pixel-wise Out-of-Distribution Detection in Semantic SegmentationCode1
Human-machine Interactive Tissue Prototype Learning for Label-efficient Histopathology Image SegmentationCode1
Meta Architecture for Point Cloud AnalysisCode1
RbA: Segmenting Unknown Regions Rejected by AllCode1
Language-Assisted 3D Feature Learning for Semantic Scene UnderstandingCode1
MUSTER: A Multi-scale Transformer-based Decoder for Semantic SegmentationCode1
A Strong Baseline for Generalized Few-Shot Semantic 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