Summary of Mose: Monocular Semantic Reconstruction Using Nerf-lifted Noisy Priors, by Zhenhua Du et al.
MOSE: Monocular Semantic Reconstruction Using NeRF-Lifted Noisy Priorsby Zhenhua Du, Binbin Xu, Haoyu Zhang, Kai…
MOSE: Monocular Semantic Reconstruction Using NeRF-Lifted Noisy Priorsby Zhenhua Du, Binbin Xu, Haoyu Zhang, Kai…
MSDNet: Multi-Scale Decoder for Few-Shot Semantic Segmentation via Transformer-Guided Prototypingby Amirreza Fateh, Mohammad Reza Mohammadi,…
Multi-Scale Grouped Prototypes for Interpretable Semantic Segmentationby Hugo Porta, Emanuele Dalsasso, Diego Marcos, Devis TuiaFirst…
Open-Vocabulary Remote Sensing Image Semantic Segmentationby Qinglong Cao, Yuntian Chen, Chao Ma, Xiaokang YangFirst submitted…
AFFSegNet: Adaptive Feature Fusion Segmentation Network for Microtumors and Multi-Organ Segmentationby Fuchen Zheng, Xinyi Chen,…
Lagrange Duality and Compound Multi-Attention Transformer for Semi-Supervised Medical Image Segmentationby Fuchen Zheng, Quanjun Li,…
AllWeatherNet:Unified Image Enhancement for Autonomous Driving under Adverse Weather and Lowlight-conditionsby Chenghao Qian, Mahdi Rezaei,…
From Bird’s-Eye to Street View: Crafting Diverse and Condition-Aligned Images with Latent Diffusion Modelby Xiaojie…
Plant detection from ultra high resolution remote sensing images: A Semantic Segmentation approach based on…
Transient Fault Tolerant Semantic Segmentation for Autonomous Drivingby Leonardo Iurada, Niccolò Cavagnero, Fernando Fernandes Dos…