2 citations · 2 across the 8 of their papers we have counts for
5 papers · 1 filter
SAM3RL: Memory Control via Reinforcement Learning for Visual Object Tracking
Tomáš Čížek, Matej Straka, Illia Volkov +5
Segment Anything Model 3 (SAM 3) is a foundation model for image and video segmentation that sets the state of the art in visual object tracking. Its tracker, inherited from SAM 2,…
Comparative analysis of missing data imputation methods for CSST survey: Impact on photometric redshift estimation performance
Ling Wang, Zhu Chen, Zhijian Luo +42
Improving the accuracy of photometric redshifts (photo-) is essential for reliable statistical studies of cosmology and galaxy evolution. However, missing photometric bands are…
CSST-PSFNet: A Point Spread Function Reconstruction Model for the CSST Based on Deep Learning
Peipei Wang, Peng Wei, Chao Liu +3
This paper presents CSST-PSFNet, a deep learning method for high-fidelity point spread function (PSF) reconstruction developed for the Chinese Space Station Survey Telescope (CSST)…
Evaluating the spatial intra-pixel sensitivity variations and influence based on space observation
Peipei Wang, Zihuang Cao, Chao Liu +3
Intra-pixel sensitivity variations (IPSVs) in charge-coupled devices (CCDs) and complementary metal-oxide-semiconductor (CMOS) detectors constitute a significant source of astromet…
Selecting Optimal Stellar Calibration Fields for the CSST Imaging Survey
Chenxiaoji Ling, Juanjuan Ren, Li Shao +8
The Chinese Space Station Survey Telescope (CSST) will perform a decade-long high-precision wide-field imaging survey that relies on rigorous on-orbit calibration. This necessitate…