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Interpretable Foreground Object Search As Knowledge Distillation

Interpretable Foreground Object Search As Knowledge Distillation

20 July 2020
Boren Li
Po-Yu Zhuang
Jian Gu
Mingyang Li
P. Tan
ArXivPDFHTML

Papers citing "Interpretable Foreground Object Search As Knowledge Distillation"

4 / 4 papers shown
Title
IDEAL: Query-Efficient Data-Free Learning from Black-box Models
IDEAL: Query-Efficient Data-Free Learning from Black-box Models
Jie M. Zhang
Chen Chen
Lingjuan Lyu
55
14
0
23 May 2022
Image Generation from Scene Graphs
Image Generation from Scene Graphs
Justin Johnson
Agrim Gupta
Li Fei-Fei
GNN
223
815
0
04 Apr 2018
Mean teachers are better role models: Weight-averaged consistency
  targets improve semi-supervised deep learning results
Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results
Antti Tarvainen
Harri Valpola
OOD
MoMe
261
1,275
0
06 Mar 2017
Multimodal Compact Bilinear Pooling for Visual Question Answering and
  Visual Grounding
Multimodal Compact Bilinear Pooling for Visual Question Answering and Visual Grounding
Akira Fukui
Dong Huk Park
Daylen Yang
Anna Rohrbach
Trevor Darrell
Marcus Rohrbach
152
1,465
0
06 Jun 2016
1