SOTAVerified

Semantic Segmentation

Papers

Showing 15511575 of 14763 papers

TitleStatusHype
Augmenting Convolutional networks with attention-based aggregationCode1
AugmenTory: A Fast and Flexible Polygon Augmentation LibraryCode1
CoSMix: Compositional Semantic Mix for Domain Adaptation in 3D LiDAR SegmentationCode1
Co-segmentation Inspired Attention Module for Video-based Computer Vision TasksCode1
Efficient Semantic Segmentation by Altering Resolutions for Compressed VideosCode1
COSMOS: Cross-Modality Self-Distillation for Vision Language Pre-trainingCode1
CosPGD: an efficient white-box adversarial attack for pixel-wise prediction tasksCode1
A Unified Framework for U-Net Design and AnalysisCode1
CoTr: Efficiently Bridging CNN and Transformer for 3D Medical Image SegmentationCode1
A Self-Distillation Embedded Supervised Affinity Attention Model for Few-Shot SegmentationCode1
Few-Shot Medical Image Segmentation via a Region-enhanced Prototypical TransformerCode1
Few Shot Medical Image Segmentation with Cross Attention TransformerCode1
COVID-CT-Mask-Net: Prediction of COVID-19 from CT Scans Using Regional FeaturesCode1
A Unified Query-based Paradigm for Point Cloud UnderstandingCode1
CP2: Copy-Paste Contrastive Pretraining for Semantic SegmentationCode1
CPCM: Contextual Point Cloud Modeling for Weakly-supervised Point Cloud Semantic SegmentationCode1
EfficientSeg: An Efficient Semantic Segmentation NetworkCode1
Efficient Self-Ensemble for Semantic SegmentationCode1
Efficient Semantic Video Segmentation with Per-frame InferenceCode1
CRIS: CLIP-Driven Referring Image SegmentationCode1
Cross-attention Spatio-temporal Context Transformer for Semantic Segmentation of Historical MapsCode1
FG-Net: Fast Large-Scale LiDAR Point Clouds Understanding Network Leveraging Correlated Feature Mining and Geometric-Aware ModellingCode1
AICSD: Adaptive Inter-Class Similarity Distillation for Semantic SegmentationCode1
Efficient Regional Memory Network for Video Object SegmentationCode1
CISCA and CytoDArk0: a Cell Instance Segmentation and Classification method for histo(patho)logical image Analyses and a new, open, Nissl-stained dataset for brain cytoarchitecture studiesCode1
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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