research
∙
03/21/2023
VAD: Vectorized Scene Representation for Efficient Autonomous Driving
Autonomous driving requires a comprehensive understanding of the surroun...
share
research
∙
12/05/2022
Perceive, Interact, Predict: Learning Dynamic and Static Clues for End-to-End Motion Prediction
Motion prediction is highly relevant to the perception of dynamic object...
research
∙
08/11/2022
MixSKD: Self-Knowledge Distillation from Mixup for Image Recognition
Unlike the conventional Knowledge Distillation (KD), Self-KD allows a ne...
research
∙
07/23/2022
Online Knowledge Distillation via Mutual Contrastive Learning for Visual Recognition
The teacher-free online Knowledge Distillation (KD) aims to train an ens...
research
∙
06/21/2022
HOPE: Hierarchical Spatial-temporal Network for Occupancy Flow Prediction
In this report, we introduce our solution to the Occupancy and Flow Pred...
research
∙
04/14/2022
Cross-Image Relational Knowledge Distillation for Semantic Segmentation
Current Knowledge Distillation (KD) methods for semantic segmentation of...
research
∙
02/24/2022
Leveraging Unimodal Self-Supervised Learning for Multimodal Audio-Visual Speech Recognition
Training Transformer-based models demands a large amount of data, while ...
research
∙
02/01/2021
Rethinking Soft Labels for Knowledge Distillation: A Bias-Variance Tradeoff Perspective
Knowledge distillation is an effective approach to leverage a well-train...
research
∙
07/12/2019