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Semantic Segmentation

Papers

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Showing 8776–8800 of 14763 papers

TitleStatusHype
MonoCInIS: Camera Independent Monocular 3D Object Detection using Instance Segmentation—0
3rd Place Scheme on Instance Segmentation Track of ICCV 2021 VIPriors Challenges—0
Instance Segmentation Challenge Track Technical Report, VIPriors Workshop at ICCV 2021: Task-Specific Copy-Paste Data Augmentation Method for Instance SegmentationCode1
Bend-Net: Bending Loss Regularized Multitask Learning Network for Nuclei Segmentation in Histopathology Images—0
iShape: A First Step Towards Irregular Shape Instance Segmentation—0
Robust Segmentation Models using an Uncertainty Slice Sampling Based Annotation Workflow—0
Transferability Estimation for Semantic Segmentation Task—0
Spark in the Dark: Evaluating Encoder-Decoder Pairs for COVID-19 CT's Semantic SegmentationCode0
Semantic Dense Reconstruction with Consistent Scene Segments—0
UNCERTAINTY QUANTIFICATION USING VARIATIONAL INFERENCE FOR BIOMEDICAL IMAGE SEGMENTATION—0
C+1 Loss: Learn to Classify C Classes of Interest and the Background Class Differentially—0
Boosting Semantic Segmentation via Feature Enhancement—0
An object-centric sensitivity analysis of deep learning based instance segmentation—0
One Stage Autoencoders for Multi-Domain Learning—0
Utilizing Attention, Linked Blocks, And Pyramid Pooling To Propel Brain Tumor Segmentation In 3DCode0
Model-Based Robust Adaptive Semantic Segmentation—0
Modeling Unknown Semantic Labels as Uncertainty in the Prediction: Evidential Deep Learning for Class-Incremental Semantic Segmentation—0
Subpixel object segmentation using wavelets and multiresolution analysis—0
Wavelet Feature Maps Compression for Low Bandwidth Convolutional Neural Networks—0
Rethinking Client Reweighting for Selfish Federated Learning—0
DaSeGAN: Domain Adaptation for Segmentation Tasks via Generative Adversarial Networks—0
Distilling GANs with Style-Mixed Triplets for X2I Translation with Limited Data—0
A Compositional Approach to Occlusion in Panoptic Segmentation—0
Attention-based Feature Aggregation—0
FoxInst: A Frustratingly Simple Baseline for Weakly Few-shot Instance Segmentation—0
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All datasetsADE20KNYU-Depth V2Cityscapes testCityscapes valADE20K valPASCAL ContextS3DIS Area5PASCAL VOC 2012 testS3DISScanNetSUN-RGBDDensePASS

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1InternImage-H (M3I Pre-training)Params (M)1,310—Unverified
2ViT-P (InternImage-H)Validation mIoU63.6—Unverified
3ONE-PEACEValidation mIoU63—Unverified
4M3I Pre-training (InternImage-H)Validation mIoU62.9—Unverified
5InternImage-HValidation mIoU62.9—Unverified
6BEiT-3Validation mIoU62.8—Unverified
7EVAValidation mIoU62.3—Unverified
8ViT-P (OneFormer, InternImage-H)Validation mIoU61.6—Unverified
9ViT-Adapter-L (Mask2Former, BEiTv2 pretrain)Validation mIoU61.5—Unverified
10FD-SwinV2-GValidation mIoU61.4—Unverified