ResearchTrend.AI
KE-RCNN: Unifying Knowledge based Reasoning into Part-level Attribute Parsing

KE-RCNN: Unifying Knowledge based Reasoning into Part-level Attribute Parsing

Xuanhan Wang
Jingkuan Song
Xiaojia Chen
Lechao Cheng
Lianli Gao
Hengtao Shen
ArXivPDFHTML

Papers citing "KE-RCNN: Unifying Knowledge based Reasoning into Part-level Attribute Parsing"

5 / 5 papers shown
Title
Frameless Graph Knowledge Distillation
Frameless Graph Knowledge Distillation
Dai Shi
Zhiqi Shao
Yi Guo
Junbin Gao
39
4
0
13 Jul 2023
Relation Regularized Scene Graph Generation
Relation Regularized Scene Graph Generation
Yuyu Guo
Lianli Gao
Jingkuan Song
Peng Wang
N. Sebe
Heng Tao Shen
Xuelong Li
28
14
0
22 Feb 2022
A Baseline Framework for Part-level Action Parsing and Action Recognition
A Baseline Framework for Part-level Action Parsing and Action Recognition
Xiaodong Chen
Xinchen Liu
Kun Liu
Wu Liu
Tao Mei
27
3
0
07 Oct 2021
Is Space-Time Attention All You Need for Video Understanding?
Is Space-Time Attention All You Need for Video Understanding?
Gedas Bertasius
Heng Wang
Lorenzo Torresani
ViT
280
1,982
0
09 Feb 2021
Parsing R-CNN for Instance-Level Human Analysis
Parsing R-CNN for Instance-Level Human Analysis
Lu Yang
Q. Song
Zhihui Wang
Ming Jiang
SSeg
56
121
0
30 Nov 2018