SOTAVerified

Semantic Segmentation

Papers

Showing 32013225 of 14763 papers

TitleStatusHype
Hierarchical Dense Correlation Distillation for Few-Shot SegmentationCode1
CTNet: Context-based Tandem Network for Semantic SegmentationCode1
Interactive 3D Medical Image Segmentation with SAM 2Code1
Hierarchical Image Peeling: A Flexible Scale-space Filtering FrameworkCode1
Augmenting Efficient Real-time Surgical Instrument Segmentation in Video with Point Tracking and Segment AnythingCode1
CTVIS: Consistent Training for Online Video Instance SegmentationCode1
Deep learning for radar data exploitation of autonomous vehicleCode1
LeTFuser: Light-weight End-to-end Transformer-Based Sensor Fusion for Autonomous Driving with Multi-Task LearningCode1
LeViT-UNet: Make Faster Encoders with Transformer for Medical Image SegmentationCode1
Linear Semantics in Generative Adversarial NetworksCode1
Deep clustering: Discriminative embeddings for segmentation and separationCode1
Hierarchical Semantic Contrast for Weakly Supervised Semantic SegmentationCode1
Building a Strong Pre-Training Baseline for Universal 3D Large-Scale PerceptionCode1
Hierarchical Representations and Explicit Memory: Learning Effective Navigation Policies on 3D Scene Graphs using Graph Neural NetworksCode1
Curriculum Model Adaptation with Synthetic and Real Data for Semantic Foggy Scene UnderstandingCode1
AIO-P: Expanding Neural Performance Predictors Beyond Image ClassificationCode1
Multi-Modal and Multi-Resolution Data Fusion for High-Resolution Cloud Removal: A Novel Baseline and BenchmarkCode1
Deep Clustering for Unsupervised Learning of Visual FeaturesCode1
Curriculum-style Local-to-global Adaptation for Cross-domain Remote Sensing Image SegmentationCode1
AI Playground: Unreal Engine-based Data Ablation Tool for Deep LearningCode1
Learning with Noisy Class Labels for Instance SegmentationCode1
Learn then Test: Calibrating Predictive Algorithms to Achieve Risk ControlCode1
High-Resolution Representations for Labeling Pixels and RegionsCode1
High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANsCode1
Learning Where to Learn in Cross-View Self-Supervised LearningCode1
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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