SOTAVerified

Semantic Segmentation

Papers

Showing 43514375 of 14763 papers

TitleStatusHype
MosaicFusion: Diffusion Models as Data Augmenters for Large Vocabulary Instance SegmentationCode1
Performance Analysis of UNet and Variants for Medical Image Segmentation0
Triple-View Knowledge Distillation for Semi-Supervised Semantic Segmentation0
Unsupervised Semantic Segmentation Through Depth-Guided Feature Correlation and SamplingCode1
POLAR-Sim: Augmenting NASA's POLAR Dataset for Data-Driven Lunar Perception and Rover SimulationCode1
DualToken-ViT: Position-aware Efficient Vision Transformer with Dual Token Fusion0
Efficient Long-Short Temporal Attention Network for Unsupervised Video Object Segmentation0
2DDATA: 2D Detection Annotations Transmittable Aggregation for Semantic Segmentation on Point Cloud0
Fully Transformer-Equipped Architecture for End-to-End Referring Video Object Segmentation0
FourierLoss: Shape-Aware Loss Function with Fourier Descriptors0
Deshadow-Anything: When Segment Anything Model Meets Zero-shot shadow removal0
A Vision-Based Navigation System for Arable Fields0
Multi-level Asymmetric Contrastive Learning for Volumetric Medical Image Segmentation Pre-trainingCode0
TCOVIS: Temporally Consistent Online Video Instance SegmentationCode0
MoDA: Leveraging Motion Priors from Videos for Advancing Unsupervised Domain Adaptation in Semantic SegmentationCode0
NeuralLabeling: A versatile toolset for labeling vision datasets using Neural Radiance FieldsCode1
SAM-OCTA: A Fine-Tuning Strategy for Applying Foundation Model to OCTA Image Segmentation TasksCode1
PanoVOS: Bridging Non-panoramic and Panoramic Views with Transformer for Video SegmentationCode1
MoPA: Multi-Modal Prior Aided Domain Adaptation for 3D Semantic SegmentationCode1
H²O: Heatmap by Hierarchical OcclusionCode0
EPTQ: Enhanced Post-Training Quantization via Hessian-guided Network-wise OptimizationCode2
RMT: Retentive Networks Meet Vision TransformersCode2
Multi-grained Temporal Prototype Learning for Few-shot Video Object SegmentationCode0
More complex encoder is not all you needCode0
Partition-A-Medical-Image: Extracting Multiple Representative Sub-regions for Few-shot Medical Image 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