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Semantic Segmentation

Papers

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Showing 6426–6450 of 14763 papers

TitleStatusHype
Automated head and neck tumor segmentation from 3D PET/CT—0
A Study on Unsupervised Domain Adaptation for Semantic Segmentation in the Era of Vision-Language Models—0
Image Augmentation Agent for Weakly Supervised Semantic Segmentation—0
KANDU-Net:A Dual-Channel U-Net with KAN for Medical Image Segmentation—0
Image Augmentation with Controlled Diffusion for Weakly-Supervised Semantic Segmentation—0
Fusion of Multispectral Data Through Illumination-aware Deep Neural Networks for Pedestrian Detection—0
CongNaMul: A Dataset for Advanced Image Processing of Soybean Sprouts—0
Fusion of Image Segmentation Algorithms using Consensus Clustering—0
ConFUDA: Contrastive Fewshot Unsupervised Domain Adaptation for Medical Image Segmentation—0
A Study on the Use of Edge TPUs for Eye Fundus Image Segmentation—0
Automated image segmentation for detecting cell spreading for metastasizing assessments of cancer development—0
Image coding for machines: an end-to-end learned approach—0
Image Complexity Guided Network Compression for Biomedical Image Segmentation—0
Kaiwu: A Multimodal Manipulation Dataset and Framework for Robot Learning and Human-Robot Interaction—0
A Class-wise Non-salient Region Generalized Framework for Video Semantic Segmentation—0
Just Say Better or Worse: A Human-AI Collaborative Framework for Medical Image Segmentation Without Manual Annotations—0
Image Data Augmentation for Deep Learning: A Survey—0
Image Embedded Segmentation: Uniting Supervised and Unsupervised Objectives for Segmenting Histopathological Images—0
Image-free single-pixel segmentation—0
Image Inpainting for High-Resolution Textures using CNN Texture Synthesis—0
Image Inpainting Guided by Coherence Priors of Semantics and Textures—0
Fusion from Decomposition: A Self-Supervised Approach for Image Fusion and Beyond—0
Image Labeling with Markov Random Fields and Conditional Random Fields—0
Customized SAM 2 for Referring Remote Sensing Image Segmentation—0
Test-time Contrastive Concepts for Open-world Semantic Segmentation—0
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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