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Semantic Segmentation

Papers

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Showing 7201–7225 of 14763 papers

TitleStatusHype
FlowCut: Unsupervised Video Instance Segmentation via Temporal Mask Matching—0
A Simple Baseline with Single-encoder for Referring Image Segmentation—0
Flow Based Self-supervised Pixel Embedding for Image Segmentation—0
Flow 2.0 -a flexible, scalable, cross-platform post-processing software for realtime phase contrast sequences—0
Label Filling via Mixed Supervision for Medical Image Segmentation from Noisy Annotations—0
Label-free Neural Semantic Image Synthesis—0
ACE-Net: Biomedical Image Segmentation with Augmented Contracting and Expansive Paths—0
3DFusion, A real-time 3D object reconstruction pipeline based on streamed instance segmented data—0
Locality-Sensitive Deconvolution Networks With Gated Fusion for RGB-D Indoor Semantic Segmentation—0
Labeling Indoor Scenes with Fusion of Out-of-the-Box Perception Models—0
Labeling Panoramas with Spherical Hourglass Networks—0
Labeling Where Adapting Fails: Cross-Domain Semantic Segmentation with Point Supervision via Active Selection—0
Complementary Information Mutual Learning for Multimodality Medical Image Segmentation—0
L-MAE: Masked Autoencoders are Semantic Segmentation Datasets Augmenter—0
Label merge-and-split: A graph-colouring approach for memory-efficient brain parcellation—0
Label noise in segmentation networks : mitigation must deal with bias—0
Label-PEnet: Sequential Label Propagation and Enhancement Networks for Weakly Supervised Instance Segmentation—0
A Simple Background Augmentation Method for Object Detection with Diffusion Model—0
Label Refinement Network for Coarse-to-Fine Semantic Segmentation—0
Deep Multi-Task Networks For Occluded Pedestrian Pose Estimation—0
Label Sharing Incremental Learning Framework for Independent Multi-Label Segmentation Tasks—0
Label super-resolution networks—0
LMSeg: A deep graph message-passing network for efficient and accurate semantic segmentation of large-scale 3D landscape meshes—0
LabOR: Labeling Only if Required for Domain Adaptive Semantic Segmentation—0
Complementary Bi-directional Feature Compression for Indoor 360° Semantic Segmentation with Self-distillation—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