Improved model speed (9-12% faster) and training stability. Fixed bugs in configs, RK2 sampler, and validation. Simplified point cloud packing and shaping. Checkpoints are compatible with the previous ...
Abstract: This paper introduces a self-supervised learning approach for monocular scene flow estimation, addressing challenges posed by the reliance on expensive 3D sensing technologies such as Lidar ...
Abstract: Accurate analysis of traffic flow (TF) data is crucial for the vehicular applications. Conventional deep learning models require task-specific training and are susceptible to high-frequency ...
If you ever find a personal or work task daunting, you might just need to rethink how you approach it. Pomodoro apps and browser extensions can put you back on a productive path. I'm a content ...
Otter is a the task execution framework used in the Open Targets data Pipeline. It provides an easy to use API to implement generic tasks that are then used by describing the flow in a YAML ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results