ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1906.04854
  4. Cited By
Task-Aware Feature Generation for Zero-Shot Compositional Learning

Task-Aware Feature Generation for Zero-Shot Compositional Learning

11 June 2019
Xin Wang
Feng Yu
Trevor Darrell
Joseph E. Gonzalez
    VLM
    CoGe
ArXivPDFHTML

Papers citing "Task-Aware Feature Generation for Zero-Shot Compositional Learning"

30 / 30 papers shown
Title
Generative Adversarial Networks
Generative Adversarial Networks
Gilad Cohen
Raja Giryes
GAN
275
30,109
0
01 Mar 2022
Task-Driven Modular Networks for Zero-Shot Compositional Learning
Task-Driven Modular Networks for Zero-Shot Compositional Learning
Senthil Purushwalkam
Maximilian Nickel
Abhinav Gupta
MarcÁurelio Ranzato
65
174
0
15 May 2019
TAFE-Net: Task-Aware Feature Embeddings for Low Shot Learning
TAFE-Net: Task-Aware Feature Embeddings for Low Shot Learning
Xin Wang
Feng Yu
Ruth Wang
Trevor Darrell
Joseph E. Gonzalez
64
105
0
11 Apr 2019
Large-Scale Long-Tailed Recognition in an Open World
Large-Scale Long-Tailed Recognition in an Open World
Ziwei Liu
Zhongqi Miao
Xiaohang Zhan
Jiayun Wang
Boqing Gong
Stella X. Yu
151
1,160
0
10 Apr 2019
A Style-Based Generator Architecture for Generative Adversarial Networks
A Style-Based Generator Architecture for Generative Adversarial Networks
Tero Karras
S. Laine
Timo Aila
583
10,555
0
12 Dec 2018
Large Scale GAN Training for High Fidelity Natural Image Synthesis
Large Scale GAN Training for High Fidelity Natural Image Synthesis
Andrew Brock
Jeff Donahue
Karen Simonyan
262
5,394
0
28 Sep 2018
Attributes as Operators: Factorizing Unseen Attribute-Object
  Compositions
Attributes as Operators: Factorizing Unseen Attribute-Object Compositions
Tushar Nagarajan
Kristen Grauman
OCL
CoGe
53
56
0
27 Mar 2018
cGANs with Projection Discriminator
cGANs with Projection Discriminator
Takeru Miyato
Masanori Koyama
GAN
71
771
0
15 Feb 2018
Low-Shot Learning from Imaginary Data
Low-Shot Learning from Imaginary Data
Yu-Xiong Wang
Ross B. Girshick
M. Hebert
Bharath Hariharan
VLM
97
677
0
16 Jan 2018
Which Training Methods for GANs do actually Converge?
Which Training Methods for GANs do actually Converge?
L. Mescheder
Andreas Geiger
Sebastian Nowozin
81
1,465
0
13 Jan 2018
Zero-Shot Visual Recognition using Semantics-Preserving Adversarial
  Embedding Networks
Zero-Shot Visual Recognition using Semantics-Preserving Adversarial Embedding Networks
Long Chen
Hanwang Zhang
Jun Xiao
Wen Liu
Shih-Fu Chang
79
289
0
05 Dec 2017
Feature Generating Networks for Zero-Shot Learning
Feature Generating Networks for Zero-Shot Learning
Yongqin Xian
Tobias Lorenz
Bernt Schiele
Zeynep Akata
GAN
VLM
64
933
0
04 Dec 2017
Are GANs Created Equal? A Large-Scale Study
Are GANs Created Equal? A Large-Scale Study
Mario Lucic
Karol Kurach
Marcin Michalski
Sylvain Gelly
Olivier Bousquet
EGVM
60
1,011
0
28 Nov 2017
FiLM: Visual Reasoning with a General Conditioning Layer
FiLM: Visual Reasoning with a General Conditioning Layer
Ethan Perez
Florian Strub
H. D. Vries
Vincent Dumoulin
Aaron Courville
FAtt
AIMat
OffRL
AI4CE
352
2,212
0
22 Sep 2017
Deep Layer Aggregation
Deep Layer Aggregation
Feng Yu
Dequan Wang
Evan Shelhamer
Trevor Darrell
AI4CE
FAtt
146
1,329
0
20 Jul 2017
Inferring and Executing Programs for Visual Reasoning
Inferring and Executing Programs for Visual Reasoning
Justin Johnson
B. Hariharan
Laurens van der Maaten
Judy Hoffman
Li Fei-Fei
C. L. Zitnick
Ross B. Girshick
NAI
83
545
0
10 May 2017
Improved Training of Wasserstein GANs
Improved Training of Wasserstein GANs
Ishaan Gulrajani
Faruk Ahmed
Martín Arjovsky
Vincent Dumoulin
Aaron Courville
GAN
205
9,548
0
31 Mar 2017
Predicting Deeper into the Future of Semantic Segmentation
Predicting Deeper into the Future of Semantic Segmentation
Pauline Luc
Natalia Neverova
Camille Couprie
Jakob Verbeek
Yann LeCun
61
242
0
22 Mar 2017
Zero-Shot Learning -- The Good, the Bad and the Ugly
Zero-Shot Learning -- The Good, the Bad and the Ugly
Yongqin Xian
Bernt Schiele
Zeynep Akata
68
842
0
13 Mar 2017
Semantic Jitter: Dense Supervision for Visual Comparisons via Synthetic
  Images
Semantic Jitter: Dense Supervision for Visual Comparisons via Synthetic Images
Aron Yu
Kristen Grauman
62
150
0
19 Dec 2016
StackGAN: Text to Photo-realistic Image Synthesis with Stacked
  Generative Adversarial Networks
StackGAN: Text to Photo-realistic Image Synthesis with Stacked Generative Adversarial Networks
Han Zhang
Tao Xu
Hongsheng Li
Shaoting Zhang
Xiaogang Wang
Xiaolei Huang
Dimitris N. Metaxas
GAN
118
2,725
0
10 Dec 2016
Learning Shape Abstractions by Assembling Volumetric Primitives
Learning Shape Abstractions by Assembling Volumetric Primitives
Shubham Tulsiani
Hao Su
Leonidas Guibas
Alexei A. Efros
Jitendra Malik
84
360
0
01 Dec 2016
Visual Relationship Detection with Language Priors
Visual Relationship Detection with Language Priors
Cewu Lu
Ranjay Krishna
Michael S. Bernstein
Li Fei-Fei
VLM
76
1,140
0
31 Jul 2016
Improved Techniques for Training GANs
Improved Techniques for Training GANs
Tim Salimans
Ian Goodfellow
Wojciech Zaremba
Vicki Cheung
Alec Radford
Xi Chen
GAN
480
9,052
0
10 Jun 2016
Generative Adversarial Text to Image Synthesis
Generative Adversarial Text to Image Synthesis
Scott E. Reed
Zeynep Akata
Xinchen Yan
Lajanugen Logeswaran
Bernt Schiele
Honglak Lee
GAN
203
3,146
0
17 May 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.2K
194,020
0
10 Dec 2015
Attribute2Image: Conditional Image Generation from Visual Attributes
Attribute2Image: Conditional Image Generation from Visual Attributes
Xinchen Yan
Jimei Yang
Kihyuk Sohn
Honglak Lee
DRL
GAN
68
771
0
02 Dec 2015
Neural Module Networks
Neural Module Networks
Jacob Andreas
Marcus Rohrbach
Trevor Darrell
Dan Klein
CoGe
134
1,073
0
09 Nov 2015
Fast R-CNN
Fast R-CNN
Ross B. Girshick
ObjD
303
25,051
0
30 Apr 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.8K
150,115
0
22 Dec 2014
1