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Semantic Segmentation

Papers

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Showing 7251–7300 of 14763 papers

TitleStatusHype
Label Refinement Network for Coarse-to-Fine Semantic Segmentation—0
Deep Multi-Task Networks For Occluded Pedestrian Pose Estimation—0
Bayesian Prediction of Future Street Scenes through Importance Sampling based Optimization—0
Label-PEnet: Sequential Label Propagation and Enhancement Networks for Weakly Supervised Instance Segmentation—0
Deep multi-task learning for a geographically-regularized semantic segmentation of aerial images—0
Label noise in segmentation networks : mitigation must deal with bias—0
Label merge-and-split: A graph-colouring approach for memory-efficient brain parcellation—0
Language-driven Grasp Detection with Mask-guided Attention—0
Deep Multi-Scale U-Net Architecture and Label-Noise Robust Training Strategies for Histopathological Image Segmentation—0
Bayesian optimization for modular black-box systems with switching costs—0
Amodal Instance Segmentation with Diffusion Shape Prior Estimation—0
L-MAE: Masked Autoencoders are Semantic Segmentation Datasets Augmenter—0
Deep Multiphase Level Set for Scene Parsing—0
Labeling Where Adapting Fails: Cross-Domain Semantic Segmentation with Point Supervision via Active Selection—0
Language-Guided Instance-Aware Domain-Adaptive Panoptic Segmentation—0
Language-guided Medical Image Segmentation with Target-informed Multi-level Contrastive Alignments—0
Language-Mediated, Object-Centric Representation Learning—0
Labeling Panoramas with Spherical Hourglass Networks—0
Deep Multimodal Fusion for Semantic Segmentation of Remote Sensing Earth Observation Data—0
Bayesian nonparametric image segmentation using a generalized Swendsen-Wang algorithm—0
Labeling Indoor Scenes with Fusion of Out-of-the-Box Perception Models—0
Deep Multi-Magnification Networks for Multi-Class Breast Cancer Image Segmentation—0
Bayesian Neural Networks for Uncertainty Estimation of Imaging Biomarkers—0
Label-free Neural Semantic Image Synthesis—0
Label Filling via Mixed Supervision for Medical Image Segmentation from Noisy Annotations—0
LapSeg3D: Weakly Supervised Semantic Segmentation of Point Clouds Representing Laparoscopic Scenes—0
Deep Multi Label Classification in Affine Subspaces—0
Deep Multi-Branch Aggregation Network for Real-Time Semantic Segmentation in Street Scenes—0
Bayesian Multifractal Image Segmentation—0
Label-Efficient Point Cloud Semantic Segmentation: An Active Learning Approach—0
Label-Efficient LiDAR Semantic Segmentation with 2D-3D Vision Transformer Adapters—0
DeepMRSeg: A convolutional deep neural network for anatomy and abnormality segmentation on MR images—0
Bayesian Logistic Shape Model Inference: application to cochlea image segmentation—0
Amodal Instance Segmentation—0
ACT: Semi-supervised Domain-adaptive Medical Image Segmentation with Asymmetric Co-training—0
Label-Efficient LiDAR Panoptic Segmentation—0
Label-efficient Hybrid-supervised Learning for Medical Image Segmentation—0
Label-Driven Reconstruction for Domain Adaptation in Semantic Segmentation—0
Label Calibration for Semantic Segmentation Under Domain Shift—0
Label Assistant: A Workflow for Assisted Data Annotation in Image Segmentation Tasks—0
Bayesian image segmentations by Potts prior and loopy belief propagation—0
Large-Scale Land Cover Mapping with Fine-Grained Classes via Class-Aware Semi-Supervised Semantic Segmentation—0
L^3U-net: Low-Latency Lightweight U-net Based Image Segmentation Model for Parallel CNN Processors—0
L2T-DLN: Learning to Teach with Dynamic Loss Network—0
Deeply supervised UNet for semantic segmentation to assist dermatopathological assessment of Basal Cell Carcinoma (BCC)—0
Kullback-Leibler Divergence-Based Fuzzy C-Means Clustering Incorporating Morphological Reconstruction and Wavelet Frames for Image Segmentation—0
K-textures, a self-supervised hard clustering deep learning algorithm for satellite image segmentation—0
Deeply Self-Supervised Contour Embedded Neural Network Applied to Liver Segmentation—0
Bayesian Generative Models for Knowledge Transfer in MRI Semantic Segmentation Problems—0
Bayesian Federated Neural Matching that Completes Full Information—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
4InternImage-HValidation mIoU62.9—Unverified
5M3I Pre-training (InternImage-H)Validation 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