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cs.CV2026
Equilibrium contrastive learning for imbalanced image classification
Sumin Roh, Harim Kim, Ho Yun Lee +1
Contrastive learning (CL) is a predominant technique in image classification, but they showed limited performance with an imbalanced dataset. Recently, several supervised CL method…
cs.CV2023
Improving Neural Radiance Field using Near-Surface Sampling with Point Cloud Generation
Hye Bin Yoo, Hyun Min Han, Sung Soo Hwang +1
Neural radiance field (NeRF) is an emerging view synthesis method that samples points in a three-dimensional (3D) space and estimates their existence and color probabilities. The d…
cs.CV2021
Improved and efficient inter-vehicle distance estimation using road gradients of both ego and target vehicles
Muhyun Back, Jinkyu Lee, Kyuho Bae +2
In advanced driver assistant systems and autonomous driving, it is crucial to estimate distances between an ego vehicle and target vehicles. Existing inter-vehicle distance estimat…