2 papers
cs.LG2024
Adaptive Gradient Regularization: A Faster and Generalizable Optimization Technique for Deep Neural Networks
Huixiu Jiang, Ling Yang, Yu Bao +2
Stochastic optimization plays a crucial role in the advancement of deep learning technologies. Over the decades, significant effort has been dedicated to improving the training eff…
cs.CV2024
WeatherProof: Leveraging Language Guidance for Semantic Segmentation in Adverse Weather
Blake Gella, Howard Zhang, Rishi Upadhyay +7
We propose a method to infer semantic segmentation maps from images captured under adverse weather conditions. We begin by examining existing models on images degraded by weather c…