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Found 4 papers, 2 papers with code
Is Ego Status All You Need for Open-Loop End-to-End Autonomous Driving?
We initially observed that the nuScenes dataset, characterized by relatively simple driving scenarios, leads to an under-utilization of perception information in end-to-end models incorporating ego status, such as the ego vehicle's velocity.
Unsupervised Domain Adaptation on Person Re-Identification via Dual-level Asymmetric Mutual Learning
The knowledge transfer between two networks is based on an asymmetric mutual learning manner.
Equivariant Point Cloud Analysis via Learning Orientations for Message Passing
In this work, we propose a novel and simple framework to achieve equivariance for point cloud analysis based on the message passing (graph neural network) scheme.
Directed Weight Neural Networks for Protein Structure Representation Learning
In this work, we propose the Directed Weight Neural Network for better capturing geometric relations among different amino acids.
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