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Semantic Segmentation

Papers

Showing 901925 of 14763 papers

TitleStatusHype
DuSSS: Dual Semantic Similarity-Supervised Vision-Language Model for Semi-Supervised Medical Image SegmentationCode1
ZoRI: Towards Discriminative Zero-Shot Remote Sensing Instance SegmentationCode1
MaskCLIP++: A Mask-Based CLIP Fine-tuning Framework for Open-Vocabulary Image SegmentationCode1
Exploring Semantic Consistency and Style Diversity for Domain Generalized Semantic SegmentationCode1
MoRe: Class Patch Attention Needs Regularization for Weakly Supervised Semantic SegmentationCode1
RapidNet: Multi-Level Dilated Convolution Based Mobile BackboneCode1
DCSEG: Decoupled 3D Open-Set Segmentation using Gaussian SplattingCode1
Towards Open-Vocabulary Video Semantic SegmentationCode1
Benchmarking Large Vision-Language Models via Directed Scene Graph for Comprehensive Image CaptioningCode1
EOV-Seg: Efficient Open-Vocabulary Panoptic SegmentationCode1
Knowledge Transfer and Domain Adaptation for Fine-Grained Remote Sensing Image SegmentationCode1
MCP-MedSAM: A Powerful Lightweight Medical Segment Anything Model Trained with a Single GPU in Just One DayCode1
RSUniVLM: A Unified Vision Language Model for Remote Sensing via Granularity-oriented Mixture of ExpertsCode1
MRGen: Diffusion-based Controllable Data Engine for MRI Segmentation towards Unannotated ModalitiesCode1
Active Negative Loss: A Robust Framework for Learning with Noisy LabelsCode1
COSMOS: Cross-Modality Self-Distillation for Vision Language Pre-trainingCode1
Referring Video Object Segmentation via Language-aligned Track SelectionCode1
Multi-Granularity Video Object SegmentationCode1
SyncVIS: Synchronized Video Instance SegmentationCode1
Token Cropr: Faster ViTs for Quite a Few TasksCode1
TAROT: Targeted Data Selection via Optimal TransportCode1
Bootstraping Clustering of Gaussians for View-consistent 3D Scene UnderstandingCode1
A SAM-guided and Match-based Semi-Supervised Segmentation Framework for Medical ImagingCode1
Deformable Mamba for Wide Field of View SegmentationCode1
Learn from Foundation Model: Fruit Detection Model without Manual AnnotationCode1
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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