SOTAVerified

Semantic Segmentation

Papers

Showing 34763500 of 14763 papers

TitleStatusHype
Mask-Enhanced Segment Anything Model for Tumor Lesion Semantic SegmentationCode1
KPConv: Flexible and Deformable Convolution for Point CloudsCode1
Deep Gradient Learning for Efficient Camouflaged Object DetectionCode1
KPRNet: Improving projection-based LiDAR semantic segmentationCode1
Kvasir-Instrument: Diagnostic and therapeutic tool segmentation dataset in gastrointestinal endoscopyCode1
Mask Propagation for Efficient Video Semantic SegmentationCode1
MatchSeg: Towards Better Segmentation via Reference Image MatchingCode1
A Weakly Supervised Amodal Segmenter with Boundary Uncertainty EstimationCode1
Semantic-Aware Domain Generalized SegmentationCode1
Deep Image Semantic Communication Model for Artificial Intelligent Internet of ThingsCode1
Semantic-Aware Generation for Self-Supervised Visual Representation LearningCode1
A Location-Sensitive Local Prototype Network for Few-Shot Medical Image SegmentationCode1
Labeled-to-Unlabeled Distribution Alignment for Partially-Supervised Multi-Organ Medical Image SegmentationCode1
Deep Instruction Tuning for Segment Anything ModelCode1
Label-efficient Segmentation via Affinity PropagationCode1
DeepIPC: Deeply Integrated Perception and Control for an Autonomous Vehicle in Real EnvironmentsCode1
From Claims to Evidence: A Unified Framework and Critical Analysis of CNN vs. Transformer vs. Mamba in Medical Image SegmentationCode1
Masked Event Modeling: Self-Supervised Pretraining for Event CamerasCode1
Deep Label Distribution Learning with Label AmbiguityCode1
LABELMAKER: Automatic Semantic Label Generation from RGB-D TrajectoriesCode1
DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFsCode1
Semantic-Guided Zero-Shot Learning for Low-Light Image/Video EnhancementCode1
Label Propagation for 3D Carotid Vessel Wall Segmentation and Atherosclerosis DiagnosisCode1
Ladder Fine-tuning approach for SAM integrating complementary networkCode1
On the Connection between Local Attention and Dynamic Depth-wise ConvolutionCode1
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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
4M3I Pre-training (InternImage-H)Validation mIoU62.9Unverified
5InternImage-HValidation 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