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03/21/2023
VAD: Vectorized Scene Representation for Efficient Autonomous Driving
Autonomous driving requires a comprehensive understanding of the surroun...
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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...
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08/11/2022
MixSKD: Self-Knowledge Distillation from Mixup for Image Recognition
Unlike the conventional Knowledge Distillation (KD), Self-KD allows a ne...
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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...
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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...
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04/14/2022
Cross-Image Relational Knowledge Distillation for Semantic Segmentation
Current Knowledge Distillation (KD) methods for semantic segmentation of...
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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 ...
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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...
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07/12/2019
