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RevCD -- Reversed Conditional Diffusion for Generalized Zero-Shot Learning
v1v2 (latest)

RevCD -- Reversed Conditional Diffusion for Generalized Zero-Shot Learning

31 August 2024
William Heyden
Habib Ullah
M. Salman Siddiqui
Fadi Al Machot
    DiffM
ArXiv (abs)PDFHTMLGithub

Papers citing "RevCD -- Reversed Conditional Diffusion for Generalized Zero-Shot Learning"

37 / 37 papers shown
An Integral Projection-based Semantic Autoencoder for Zero-Shot Learning
An Integral Projection-based Semantic Autoencoder for Zero-Shot LearningIEEE Access (IEEE Access), 2023
William Heyden
Habib Ullah
M. Salman Siddiqui
Fadi Al Machot
VLM
310
5
0
26 Jun 2023
Robust Classification via a Single Diffusion Model
Robust Classification via a Single Diffusion ModelInternational Conference on Machine Learning (ICML), 2023
Huanran Chen
Yinpeng Dong
Zhengyi Wang
Xiaohu Yang
Chen-Dong Duan
Hang Su
Jun Zhu
457
94
0
24 May 2023
Synthetic Data from Diffusion Models Improves ImageNet Classification
Synthetic Data from Diffusion Models Improves ImageNet Classification
Shekoofeh Azizi
Simon Kornblith
Chitwan Saharia
Mohammad Norouzi
David J. Fleet
VLMDiffM
967
412
0
17 Apr 2023
Your Diffusion Model is Secretly a Zero-Shot Classifier
Your Diffusion Model is Secretly a Zero-Shot ClassifierIEEE International Conference on Computer Vision (ICCV), 2023
Alexander C. Li
Mihir Prabhudesai
Shivam Duggal
Ellis L Brown
Deepak Pathak
DiffMVLM
928
340
0
28 Mar 2023
Text-to-Image Diffusion Models are Zero-Shot Classifiers
Text-to-Image Diffusion Models are Zero-Shot ClassifiersNeural Information Processing Systems (NeurIPS), 2023
Kevin Clark
P. Jaini
DiffMVLM
467
164
0
27 Mar 2023
Learning Attention as Disentangler for Compositional Zero-shot Learning
Learning Attention as Disentangler for Compositional Zero-shot LearningComputer Vision and Pattern Recognition (CVPR), 2023
Shaozhe Hao
Kai Han
Kwan-Yee K. Wong
CoGeOCL
249
53
0
27 Mar 2023
Distilled Reverse Attention Network for Open-world Compositional
  Zero-Shot Learning
Distilled Reverse Attention Network for Open-world Compositional Zero-Shot LearningIEEE International Conference on Computer Vision (ICCV), 2023
Yun Yvonna Li
Zhe Liu
Saurav Jha
Sally Cripps
Weitong Chen
BDLCoGe
234
23
0
01 Mar 2023
Diversity is Definitely Needed: Improving Model-Agnostic Zero-shot
  Classification via Stable Diffusion
Diversity is Definitely Needed: Improving Model-Agnostic Zero-shot Classification via Stable Diffusion
Jordan Shipard
Arnold Wiliem
Kien Nguyen Thanh
Wei Xiang
Clinton Fookes
DiffM
502
104
0
07 Feb 2023
Learning Attention Propagation for Compositional Zero-Shot Learning
Learning Attention Propagation for Compositional Zero-Shot LearningIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2022
Muhammad Gul Zain Ali Khan
Muhammad Ferjad Naeem
Luc Van Gool
A. Pagani
D. Stricker
Muhammad Zeshan Afzal
CoGe
356
36
0
20 Oct 2022
Understanding Diffusion Models: A Unified Perspective
Understanding Diffusion Models: A Unified Perspective
Calvin Luo
DiffM
365
486
0
25 Aug 2022
Classifier-Free Diffusion Guidance
Classifier-Free Diffusion Guidance
Jonathan Ho
Tim Salimans
FaML
702
5,964
0
26 Jul 2022
Contrastive Embedding for Generalized Zero-Shot Learning
Contrastive Embedding for Generalized Zero-Shot LearningComputer Vision and Pattern Recognition (CVPR), 2021
Zongyan Han
Zhenyong Fu
Shuo Chen
Zhiqiang Wang
VLM
323
258
0
30 Mar 2021
Generative Multi-Label Zero-Shot Learning
Generative Multi-Label Zero-Shot LearningIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021
Akshita Gupta
Sanath Narayan
Salman Khan
Fahad Shahbaz Khan
Ling Shao
Joost van de Weijer
VLM
473
44
0
27 Jan 2021
Semantics Disentangling for Generalized Zero-Shot Learning
Semantics Disentangling for Generalized Zero-Shot LearningIEEE International Conference on Computer Vision (ICCV), 2021
Zhi Chen
Yadan Luo
Ruihong Qiu
Sen Wang
Zi Huang
Jingjing Li
Zheng Zhang
345
140
0
20 Jan 2021
Score-Based Generative Modeling through Stochastic Differential
  Equations
Score-Based Generative Modeling through Stochastic Differential EquationsInternational Conference on Learning Representations (ICLR), 2020
Yang Song
Jascha Narain Sohl-Dickstein
Diederik P. Kingma
Abhishek Kumar
Stefano Ermon
Ben Poole
DiffMSyDa
3.6K
9,903
0
26 Nov 2020
A Review of Generalized Zero-Shot Learning Methods
A Review of Generalized Zero-Shot Learning MethodsIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020
Farhad Pourpanah
Moloud Abdar
Yuxuan Luo
Xinlei Zhou
Ran Wang
C. P. Lim
Xizhao Wang
Q. M. Jonathan Wu
VLM
789
540
0
17 Nov 2020
Generalized Zero-Shot Domain Adaptation via Coupled Conditional
  Variational Autoencoders
Generalized Zero-Shot Domain Adaptation via Coupled Conditional Variational Autoencoders
Qian Wang
T. Breckon
199
17
0
03 Aug 2020
Rethinking Generative Zero-Shot Learning: An Ensemble Learning
  Perspective for Recognising Visual Patches
Rethinking Generative Zero-Shot Learning: An Ensemble Learning Perspective for Recognising Visual PatchesACM Multimedia (ACM MM), 2020
Zhi Chen
Sen Wang
Jingjing Li
Zi Huang
VLM
421
43
0
27 Jul 2020
Denoising Diffusion Probabilistic Models
Denoising Diffusion Probabilistic Models
Jonathan Ho
Ajay Jain
Pieter Abbeel
DiffM
6.1K
29,328
0
19 Jun 2020
Decision-Making with Auto-Encoding Variational Bayes
Decision-Making with Auto-Encoding Variational BayesNeural Information Processing Systems (NeurIPS), 2020
Romain Lopez
Pierre Boyeau
Nir Yosef
Michael I. Jordan
Jeffrey Regier
BDL
1.8K
20,656
0
17 Feb 2020
Don't Blame the ELBO! A Linear VAE Perspective on Posterior Collapse
Don't Blame the ELBO! A Linear VAE Perspective on Posterior CollapseNeural Information Processing Systems (NeurIPS), 2019
James Lucas
George Tucker
Roger C. Grosse
Mohammad Norouzi
CoGeDRL
365
210
0
06 Nov 2019
Seeing What a GAN Cannot Generate
Seeing What a GAN Cannot GenerateIEEE International Conference on Computer Vision (ICCV), 2019
David Bau
Jun-Yan Zhu
Jonas Wulff
William S. Peebles
Hendrik Strobelt
Bolei Zhou
Antonio Torralba
GAN
261
340
0
24 Oct 2019
Generalized Zero- and Few-Shot Learning via Aligned Variational
  Autoencoders
Generalized Zero- and Few-Shot Learning via Aligned Variational Autoencoders
Edgar Schönfeld
Sayna Ebrahimi
Samarth Sinha
Trevor Darrell
Zeynep Akata
DRL
667
676
0
05 Dec 2018
Generative Dual Adversarial Network for Generalized Zero-shot Learning
Generative Dual Adversarial Network for Generalized Zero-shot Learning
He Huang
Chang-Dong Wang
Philip S. Yu
Chang-Dong Wang
GAN
392
234
0
12 Nov 2018
Visualizing the Loss Landscape of Neural Nets
Visualizing the Loss Landscape of Neural NetsNeural Information Processing Systems (NeurIPS), 2017
Hao Li
Zheng Xu
Gavin Taylor
Christoph Studer
Tom Goldstein
836
2,247
0
28 Dec 2017
Feature Generating Networks for Zero-Shot Learning
Feature Generating Networks for Zero-Shot Learning
Yongqin Xian
Tobias Lorenz
Bernt Schiele
Zeynep Akata
GANVLM
430
1,028
0
04 Dec 2017
A Generative Model For Zero Shot Learning Using Conditional Variational
  Autoencoders
A Generative Model For Zero Shot Learning Using Conditional Variational Autoencoders
Ashish Mishra
M. K. Reddy
Anurag Mittal
H. Murthy
GANVLMDRL
345
323
0
03 Sep 2017
Generating Visual Representations for Zero-Shot Classification
Generating Visual Representations for Zero-Shot Classification
Max Bucher
Stéphane Herbin
F. Jurie
VLM
320
156
0
23 Aug 2017
A Simple Exponential Family Framework for Zero-Shot Learning
A Simple Exponential Family Framework for Zero-Shot Learning
Vinay Kumar Verma
Piyush Rai
VLM
359
205
0
25 Jul 2017
Zero-Shot Learning -- A Comprehensive Evaluation of the Good, the Bad
  and the Ugly
Zero-Shot Learning -- A Comprehensive Evaluation of the Good, the Bad and the Ugly
Yongqin Xian
Christoph H. Lampert
Bernt Schiele
Zeynep Akata
VLM
866
1,808
0
03 Jul 2017
Attention Is All You Need
Attention Is All You NeedNeural Information Processing Systems (NeurIPS), 2017
Ashish Vaswani
Noam M. Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan Gomez
Lukasz Kaiser
Illia Polosukhin
3DV
8.3K
172,602
0
12 Jun 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
477
949
0
13 Mar 2017
Improved Techniques for Training GANs
Improved Techniques for Training GANs
Tim Salimans
Ian Goodfellow
Wojciech Zaremba
Vicki Cheung
Alec Radford
Xi Chen
GAN
1.6K
10,169
0
10 Jun 2016
Latent Embeddings for Zero-shot Classification
Latent Embeddings for Zero-shot Classification
Yongqin Xian
Zeynep Akata
Gaurav Sharma
Quynh N. Nguyen
Matthias Hein
Bernt Schiele
BDL
404
746
0
29 Mar 2016
Label-Embedding for Image Classification
Label-Embedding for Image ClassificationIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2015
Zeynep Akata
Florent Perronnin
Zaïd Harchaoui
Cordelia Schmid
VLM
347
845
0
30 Mar 2015
Deep Unsupervised Learning using Nonequilibrium Thermodynamics
Deep Unsupervised Learning using Nonequilibrium Thermodynamics
Jascha Narain Sohl-Dickstein
Eric A. Weiss
Niru Maheswaranathan
Surya Ganguli
SyDaDiffM
2.1K
9,612
0
12 Mar 2015
Zero-Shot Learning Through Cross-Modal Transfer
Zero-Shot Learning Through Cross-Modal TransferNeural Information Processing Systems (NeurIPS), 2013
R. Socher
M. Ganjoo
Hamsa Sridhar
Osbert Bastani
Christopher D. Manning
A. Ng
BDLVLM
570
1,522
0
16 Jan 2013
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