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cs.CV2024
Learning with Noisy Ground Truth: From 2D Classification to 3D Reconstruction
Yangdi Lu, Wenbo He
Deep neural networks has been highly successful in data-intense computer vision applications, while such success relies heavily on the massive and clean data. In real-world scenari…
cs.CV2024
Mitigating Noisy Supervision Using Synthetic Samples with Soft Labels
Yangdi Lu, Wenbo He
Noisy labels are ubiquitous in real-world datasets, especially in the large-scale ones derived from crowdsourcing and web searching. It is challenging to train deep neural networks…
cs.CV2024★ 3 cited
VastGaussian: Vast 3D Gaussians for Large Scene Reconstruction
Jiaqi Lin, Zhihao Li, Xiao Tang +8
Existing NeRF-based methods for large scene reconstruction often have limitations in visual quality and rendering speed. While the recent 3D Gaussian Splatting works well on small-…