SOTAVerified

Semantic Segmentation

Papers

Showing 65766600 of 14763 papers

TitleStatusHype
Improving Uncertainty-based Out-of-Distribution Detection for Medical Image Segmentation0
High-Quality Entity SegmentationCode0
Domain-incremental Cardiac Image Segmentation with Style-oriented Replay and Domain-sensitive Feature Whitening0
Dynamic loss balancing and sequential enhancement for road-safety assessment and traffic scene classification0
Calibrated Perception Uncertainty Across Objects and Regions in Bird's-Eye-View0
DepthFormer: Multimodal Positional Encodings and Cross-Input Attention for Transformer-Based Segmentation Networks0
Automatic Error Detection in Integrated Circuits Image Segmentation: A Data-driven Approach0
Efficient Single-Image Depth Estimation on Mobile Devices, Mobile AI & AIM 2022 Challenge: Report0
Exploration of Convolutional Neural Network Architectures for Large Region Map Automation0
Polite Teacher: Semi-Supervised Instance Segmentation with Mutual Learning and Pseudo-Label Thresholding0
MogaNet: Multi-order Gated Aggregation NetworkCode2
BriFiSeg: a deep learning-based method for semantic and instance segmentation of nuclei in brightfield imagesCode0
Domain Adaptive Video Semantic Segmentation via Cross-Domain Moving Object MixingCode1
High-Resolution Boundary Detection for Medical Image Segmentation with Piece-Wise Two-Sample T-Test Augmented Loss0
Understanding and Mitigating Overfitting in Prompt Tuning for Vision-Language ModelsCode1
Translated Skip Connections -- Expanding the Receptive Fields of Fully Convolutional Neural NetworksCode0
Quantifying and Learning Static vs. Dynamic Information in Deep Spatiotemporal Networks0
Quantifying Model Uncertainty for Semantic Segmentation using Operators in the RKHS0
Analysing the effectiveness of a generative model for semi-supervised medical image segmentation0
Deep Learning based Defect classification and detection in SEM images: A Mask R-CNN approach0
MALUNet: A Multi-Attention and Light-weight UNet for Skin Lesion SegmentationCode1
Could Giant Pretrained Image Models Extract Universal Representations?0
Unsupervised Model Adaptation for Source-free Segmentation of Medical Images0
Style Augmentation improves Medical Image Segmentation0
Semantic SuperPoint: A Deep Semantic DescriptorCode1
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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