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Semantic Segmentation

Papers

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Showing 7826–7850 of 14763 papers

TitleStatusHype
Local Context Attention for Salient Object Segmentation—0
Combining Bottom-Up, Top-Down, and Smoothness Cues for Weakly Supervised Image Segmentation—0
Local contrastive loss with pseudo-label based self-training for semi-supervised medical image segmentation—0
Adversarial Neural Networks in Medical Imaging Advancements and Challenges in Semantic Segmentation—0
Local-Global Pseudo-label Correction for Source-free Domain Adaptive Medical Image Segmentation—0
3D Face Reconstruction Using Color Photometric Stereo with Uncalibrated Near Point Lights—0
Few-shot 3D LiDAR Semantic Segmentation for Autonomous Driving—0
Few Labeled Atlases are Necessary for Deep-Learning-Based Segmentation—0
Combiner and HyperCombiner Networks: Rules to Combine Multimodality MR Images for Prostate Cancer Localisation—0
Few Exemplar-Based General Medical Image Segmentation via Domain-Aware Selective Adaptation—0
Localization and Expansion: A Decoupled Framework for Point Cloud Few-shot Semantic Segmentation—0
Differentiable Spline Approximations—0
Localized Feature Aggregation Module for Semantic Segmentation—0
Fewer is More: Image Segmentation Based Weakly Supervised Object Detection with Partial Aggregation—0
Combined Approach for Image Segmentation—0
A Self-Supervised Method for Body Part Segmentation and Keypoint Detection of Rat Images—0
Localized Region Contrast for Enhancing Self-Supervised Learning in Medical Image Segmentation—0
Few Clicks Suffice: Active Test-Time Adaptation for Semantic Segmentation—0
Localizing Adverts in Outdoor Scenes—0
DiffMap: Enhancing Map Segmentation with Map Prior Using Diffusion Model—0
Locally Adaptive Learning Loss for Semantic Image Segmentation—0
FE-UNet: Frequency Domain Enhanced U-Net with Segment Anything Capability for Versatile Image Segmentation—0
BiSeg: Simultaneous Instance Segmentation and Semantic Segmentation with Fully Convolutional Networks—0
Combinatorial Energy Learning for Image Segmentation—0
Adversarial Networks for the Detection of Aggressive Prostate Cancer—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