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Semantic Segmentation

Papers

Showing 13261350 of 14763 papers

TitleStatusHype
Weakly Supervised Point Cloud Semantic Segmentation via Artificial OracleCode1
Tracking with Human-Intent ReasoningCode1
Amodal Ground Truth and Completion in the WildCode1
Weed mapping in multispectral drone imagery using lightweight vision transformersCode1
Learning Multi-axis Representation in Frequency Domain for Medical Image SegmentationCode1
Semantic-aware SAM for Point-Prompted Instance SegmentationCode1
PointCT: Point Central Transformer Network for Weakly-supervised Point Cloud Semantic SegmentationCode1
WildScenes: A Benchmark for 2D and 3D Semantic Segmentation in Large-scale Natural EnvironmentsCode1
Harnessing Diffusion Models for Visual Perception with Meta PromptsCode1
SurgicalPart-SAM: Part-to-Whole Collaborative Prompting for Surgical Instrument SegmentationCode1
SCUNet++: Swin-UNet and CNN Bottleneck Hybrid Architecture with Multi-Fusion Dense Skip Connection for Pulmonary Embolism CT Image SegmentationCode1
Dual Attention U-Net with Feature Infusion: Pushing the Boundaries of Multiclass Defect SegmentationCode1
Weakly Supervised Semantic Segmentation for Driving ScenesCode1
Few Shot Part Segmentation Reveals Compositional Logic for Industrial Anomaly DetectionCode1
TagAlign: Improving Vision-Language Alignment with Multi-Tag ClassificationCode1
TagCLIP: A Local-to-Global Framework to Enhance Open-Vocabulary Multi-Label Classification of CLIP Without TrainingCode1
Spectral Prompt Tuning:Unveiling Unseen Classes for Zero-Shot Semantic SegmentationCode1
FedA3I: Annotation Quality-Aware Aggregation for Federated Medical Image Segmentation against Heterogeneous Annotation NoiseCode1
Cached Transformers: Improving Transformers with Differentiable Memory CacheCode1
DVIS++: Improved Decoupled Framework for Universal Video SegmentationCode1
Mask Grounding for Referring Image SegmentationCode1
The Endoscapes Dataset for Surgical Scene Segmentation, Object Detection, and Critical View of Safety Assessment: Official Splits and BenchmarkCode1
SoftCTM: Cell detection by soft instance segmentation and consideration of cell-tissue interactionCode1
Rotated Multi-Scale Interaction Network for Referring Remote Sensing Image SegmentationCode1
MDD-UNet: Domain Adaptation for Medical Image Segmentation with Theoretical Guarantees, a Proof of ConceptCode1
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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