Bidirectional Knowledge Reconfiguration for Lightweight Point Cloud
Analysis

Bidirectional Knowledge Reconfiguration for Lightweight Point Cloud Analysis

8 October 2023

Tao Mei

Papers citing "Bidirectional Knowledge Reconfiguration for Lightweight Point Cloud Analysis"

8 / 8 papers shown

Title
One Loss for Quantization: Deep Hashing with Discrete Wasserstein Distributional Matching Khoa D. Doan Peng Yang Ping Li MQ 18 37 0 31 May 2022
CDFKD-MFS: Collaborative Data-free Knowledge Distillation via Multi-level Feature Sharing Zhiwei Hao Yong Luo Zhi Wang Han Hu J. An 37 27 0 24 May 2022
A Generalized Zero-Shot Quantization of Deep Convolutional Neural Networks via Learned Weights Statistics Prasen Kumar Sharma Arun Abraham V. N. Rajendiran MQ 25 7 0 06 Dec 2021
Dual Transformer for Point Cloud Analysis Xian-Feng Han Yi-Fei Jin Hui Cheng Guoqiang Xiao ViT 34 72 0 27 Apr 2021
Distilling Knowledge via Knowledge Review Pengguang Chen Shu-Lin Liu Hengshuang Zhao Jiaya Jia 147 416 0 19 Apr 2021
Show, Attend and Distill:Knowledge Distillation via Attention-based Feature Matching Mingi Ji Byeongho Heo Sungrae Park 56 142 0 05 Feb 2021
DensePoint: Learning Densely Contextual Representation for Efficient Point Cloud Processing Yongcheng Liu Bin Fan Gaofeng Meng Jiwen Lu Shiming Xiang Chunhong Pan 3DPC 115 269 0 09 Sep 2019
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation C. Qi Hao Su Kaichun Mo Leonidas J. Guibas 3DH 3DPC 3DV PINN 219 14,047 0 02 Dec 2016