QD-BEV : Quantization-aware View-guided Distillation for Multi-view 3D Object Detection-Reference-Cited by-同舟云学术

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QD-BEV : Quantization-aware View-guided Distillation for Multi-view 3D Object Detection

Published:2023-10-01 Issue: Volume:34 Page:3802-3812
ISSN:
Container-title:2023 IEEE/CVF International Conference on Computer Vision (ICCV)
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Author:

Zhang Yifan¹,Dong Zhen²,Yang Huanrui²,Lu Ming³,Tseng Cheng-Ching³,Du Yuan¹,Keutzer Kurt²,Du Li¹,Zhang Shanghang³

Affiliation:

1. Nanjing University

2. University of California,Berkeley

3. Peking University,National Key Laboratory for Multimedia Information Processing, School of Computer Science

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10376473/10376477/10377140.pdf?arnumber=10377140

Reference48 articles.

1. Variational Information Distillation for Knowledge Transfer

2. Estimating or propagating gradients through stochastic neurons for conditional computation;Bengio,2013

3. nuScenes: A Multimodal Dataset for Autonomous Driving

4. ZeroQ: A Novel Zero Shot Quantization Framework

5. End-to-End Object Detection with Transformers

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1. Adaptive design and implementation of automatic modulation recognition accelerator;Journal of Ambient Intelligence and Humanized Computing;2024-01

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