G-DetKD: Towards General Distillation Framework for Object Detectors via
Contrastive and Semantic-guided Feature Imitation

G-DetKD: Towards General Distillation Framework for Object Detectors via Contrastive and Semantic-guided Feature Imitation

17 August 2021

Hang Xu

Tong Zhang

Papers citing "G-DetKD: Towards General Distillation Framework for Object Detectors via Contrastive and Semantic-guided Feature Imitation"

7 / 7 papers shown

Title
CrossKD: Cross-Head Knowledge Distillation for Object Detection Jiabao Wang Yuming Chen Zhaohui Zheng Xiang Li Ming-Ming Cheng Qibin Hou 38 30 0 20 Jun 2023
DAMO-StreamNet: Optimizing Streaming Perception in Autonomous Driving Ju He Zhi-Qi Cheng Chenyang Li Wangmeng Xiang Binghui Chen Bin Luo Yifeng Geng Xuansong Xie AI4CE 14 19 0 30 Mar 2023
Smooth and Stepwise Self-Distillation for Object Detection Jieren Deng Xiaoxia Zhou Hao Tian Zhihong Pan Derek Aguiar ObjD 13 0 0 09 Mar 2023
ConQueR: Query Contrast Voxel-DETR for 3D Object Detection Benjin Zhu Zhe Wang Shaoshuai Shi Hang Xu Lanqing Hong Hongsheng Li 11 23 0 14 Dec 2022
Joint-DetNAS: Upgrade Your Detector with NAS, Pruning and Dynamic Distillation Lewei Yao Renjie Pi Hang Xu Wei Zhang Zhenguo Li Tong Zhang 74 38 0 27 May 2021
BorderDet: Border Feature for Dense Object Detection Han Qiu Yuchen Ma Zeming Li Songtao Liu Jian-jun Sun ObjD 82 122 0 21 Jul 2020
Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results Antti Tarvainen Harri Valpola OOD MoMe 244 1,279 0 06 Mar 2017