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Semantic Segmentation

Papers

Showing 29012950 of 14763 papers

TitleStatusHype
Multi-Domain Incremental Learning for Semantic SegmentationCode1
MaskSplit: Self-supervised Meta-learning for Few-shot Semantic SegmentationCode1
UVO Challenge on Video-based Open-World Segmentation 2021: 1st Place SolutionCode1
IVS3D: An Open Source Framework for Intelligent Video Sampling and Preprocessing to Facilitate 3D ReconstructionCode1
Pixel-by-Pixel Cross-Domain Alignment for Few-Shot Semantic SegmentationCode1
CeyMo: See More on Roads -- A Novel Benchmark Dataset for Road Marking DetectionCode1
Recurrence along Depth: Deep Convolutional Neural Networks with Recurrent Layer AggregationCode1
Reimagine BiSeNet for Real-Time Domain Adaptation in Semantic SegmentationCode1
Transfer beyond the Field of View: Dense Panoramic Semantic Segmentation via Unsupervised Domain AdaptationCode1
PlaneRecNet: Multi-Task Learning with Cross-Task Consistency for Piece-Wise Plane Detection and Reconstruction from a Single RGB ImageCode1
OSS-Net: Memory Efficient High Resolution Semantic Segmentation of 3D Medical DataCode1
ASSANet: An Anisotropic Separable Set Abstraction for Efficient Point Cloud Representation LearningCode1
1st Place Solution for the UVO Challenge on Image-based Open-World Segmentation 2021Code1
Mask-aware IoU for Anchor Assignment in Real-time Instance SegmentationCode1
HRFormer: High-Resolution Transformer for Dense PredictionCode1
FEANet: Feature-Enhanced Attention Network for RGB-Thermal Real-time Semantic SegmentationCode1
LoveDA: A Remote Sensing Land-Cover Dataset for Domain Adaptive Semantic SegmentationCode1
Inconsistency-aware Uncertainty Estimation for Semi-supervised Medical Image SegmentationCode1
The Aircraft Context Dataset: Understanding and Optimizing Data Variability in Aerial DomainsCode1
Active Learning for Improved Semi-Supervised Semantic Segmentation in Satellite ImagesCode1
Guided Point Contrastive Learning for Semi-supervised Point Cloud Semantic SegmentationCode1
Weakly Supervised Semantic Segmentation by Pixel-to-Prototype ContrastCode1
Multi-Layer Pseudo-Supervision for Histopathology Tissue Semantic Segmentation using Patch-level Classification LabelsCode1
Domain Adaptive Semantic Segmentation without Source DataCode1
Reducing Information Bottleneck for Weakly Supervised Semantic SegmentationCode1
Continuous Conditional Random Field Convolution for Point Cloud SegmentationCode1
Satellite Image Semantic SegmentationCode1
Vit-GAN: Image-to-image Translation with Vision Transformes and Conditional GANSCode1
Semi-Supervised Semantic Segmentation via Adaptive Equalization LearningCode1
Revitalizing CNN Attentions via Transformers in Self-Supervised Visual Representation LearningCode1
ProgFed: Effective, Communication, and Computation Efficient Federated Learning by Progressive TrainingCode1
BuildingNet: Learning to Label 3D BuildingsCode1
MD Loss: Efficient Training of 3D Seismic Fault Segmentation Network under Sparse Labels by Weakening Anomaly AnnotationCode1
Adaptive Early-Learning Correction for Segmentation from Noisy AnnotationsCode1
E1D3 U-Net for Brain Tumor Segmentation: Submission to the RSNA-ASNR-MICCAI BraTS 2021 ChallengeCode1
Long-tailed Distribution AdaptationCode1
Clustering Plotted Data by Image SegmentationCode1
Shallow Features Guide Unsupervised Domain Adaptation for Semantic Segmentation at Class BoundariesCode1
Self-Supervised Generative Style Transfer for One-Shot Medical Image SegmentationCode1
Transfer Learning U-Net Deep Learning for Lung Ultrasound SegmentationCode1
Transformer Assisted Convolutional Network for Cell Instance SegmentationCode1
Double Encoder-Decoder Networks for Gastrointestinal Polyp SegmentationCode1
Mix3D: Out-of-Context Data Augmentation for 3D ScenesCode1
Pixel-Level Bijective Matching for Video Object SegmentationCode1
Semantic-Guided Zero-Shot Learning for Low-Light Image/Video EnhancementCode1
Learn then Test: Calibrating Predictive Algorithms to Achieve Risk ControlCode1
Bounding Box Tightness Prior for Weakly Supervised Image SegmentationCode1
Instance Segmentation Challenge Track Technical Report, VIPriors Workshop at ICCV 2021: Task-Specific Copy-Paste Data Augmentation Method for Instance SegmentationCode1
NASViT: Neural Architecture Search for Efficient Vision Transformers with Gradient Conflict aware Supernet TrainingCode1
Training on Polar Image Transformations Improves Biomedical 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