Isometric Propagation Network for Generalized Zero-shot Learning

3 February 2021

Papers citing "Isometric Propagation Network for Generalized Zero-shot Learning"

22 / 22 papers shown

Title
Visual-Semantic Graph Matching Net for Zero-Shot Learning Bowen Duan Shiming Chen Yufei Guo Guo-Sen Xie Weiping Ding Yisong Wang 73 0 0 18 Nov 2024
Meta-Learned Attribute Self-Interaction Network for Continual and Generalized Zero-Shot Learning Vinay Kumar Verma Nikhil Mehta Kevin J Liang Aakansha Mishra Lawrence Carin BDL VLM 36 2 0 02 Dec 2023
PVG: Progressive Vision Graph for Vision Recognition Jiafu Wu Jian Li Jiangning Zhang Boshen Zhang M. Chi Yabiao Wang Chengjie Wang ViT 25 12 0 01 Aug 2023
Diversity-enhancing Generative Network for Few-shot Hypothesis Adaptation Ruijiang Dong Feng Liu Haoang Chi Tongliang Liu Biwei Huang Gang Niu Masashi Sugiyama Bo Han 21 5 0 12 Jul 2023
Annotating Ambiguous Images: General Annotation Strategy for High-Quality Data with Real-World Biomedical Validation Lars Schmarje Vasco Grossmann Claudius Zelenka Johannes Brunger Reinhard Koch 27 1 0 21 Jun 2023
Zero-shot Referring Image Segmentation with Global-Local Context Features S. Yu Paul Hongsuck Seo Jeany Son 6 49 0 31 Mar 2023
Efficient Gaussian Process Model on Class-Imbalanced Datasets for Generalized Zero-Shot Learning Changkun Ye Nick Barnes L. Petersson Russell Tsuchida BDL SyDa VLM 37 3 0 11 Oct 2022
A Survey on Graph Neural Networks and Graph Transformers in Computer Vision: A Task-Oriented Perspective Chaoqi Chen Yushuang Wu Qiyuan Dai Hong-Yu Zhou Mutian Xu Sibei Yang Xiaoguang Han Yizhou Yu ViT MedIm AI4CE 27 73 0 27 Sep 2022
Deconstructed Generation-Based Zero-Shot Model Dubing Chen Yuming Shen Haofeng Zhang Philip Torr 35 7 0 24 Apr 2022
Diversity-boosted Generalization-Specialization Balancing for Zero-shot Learning Yun Yvonna Li Zhe Liu Xiaojun Chang Julian McAuley L. Yao 17 10 0 06 Jan 2022
Automated Deep Learning: Neural Architecture Search Is Not the End Xuanyi Dong D. Kedziora Katarzyna Musial Bogdan Gabrys 25 26 0 16 Dec 2021
Dual Progressive Prototype Network for Generalized Zero-Shot Learning Chaoqun Wang Shaobo Min Xuejin Chen Xiaoyan Sun Houqiang Li 25 45 0 03 Nov 2021
Meta Two-Sample Testing: Learning Kernels for Testing with Limited Data Feng Liu Wenkai Xu Jie Lu Danica J. Sutherland 18 19 0 14 Jun 2021
Meta-Learned Attribute Self-Gating for Continual Generalized Zero-Shot Learning Vinay Kumar Verma Kevin J Liang Nikhil Mehta Lawrence Carin CLL VLM 34 5 0 23 Feb 2021
Few-shot Network Anomaly Detection via Cross-network Meta-learning Kaize Ding Qinghai Zhou Hanghang Tong Huan Liu 42 123 0 22 Feb 2021
Meta Discovery: Learning to Discover Novel Classes given Very Limited Data Haoang Chi Feng Liu Bo Han Wenjing Yang L. Lan Tongliang Liu Gang Niu Mingyuan Zhou Masashi Sugiyama 34 42 0 08 Feb 2021
Cyclic Label Propagation for Graph Semi-supervised Learning Zhao Li Yixin Liu Zhen Zhang Shirui Pan Jianliang Gao Jiajun Bu 16 7 0 24 Nov 2020
Zero-Shot Learning with Common Sense Knowledge Graphs Nihal V. Nayak Stephen H. Bach VLM 26 36 0 18 Jun 2020
Omni-Scale CNNs: a simple and effective kernel size configuration for time series classification Wensi Tang Guodong Long Lu Liu Dinesh Manocha Michael Blumenstein Jing Jiang AI4TS 24 99 0 24 Feb 2020
A survey on Semi-, Self- and Unsupervised Learning for Image Classification Lars Schmarje M. Santarossa Simon-Martin Schroder Reinhard Koch SSL VLM 17 161 0 20 Feb 2020
Rethinking Zero-Shot Learning: A Conditional Visual Classification Perspective Keqin Li Martin Renqiang Min Y. Fu VLM 68 125 0 13 Sep 2019
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 362 11,684 0 09 Mar 2017