Boosting Generative Zero-Shot Learning by Synthesizing Diverse Features
with Attribute Augmentation

Boosting Generative Zero-Shot Learning by Synthesizing Diverse Features with Attribute Augmentation

AAAI Conference on Artificial Intelligence (AAAI), 2021

23 December 2021

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Papers citing "Boosting Generative Zero-Shot Learning by Synthesizing Diverse Features with Attribute Augmentation"

8 / 8 papers shown

Title
Bridge the Gap Between Visual and Linguistic Comprehension for Generalized Zero-shot Semantic Segmentation Xiaoqing Guo Wenbo Li Yixuan Yuan 284 0 0 31 Mar 2025
Applications of Generative AI (GAI) for Mobile and Wireless Networking: A Survey Thai-Hoc Vu Senthil Kumar Jagatheesaperumal Minh-Duong Nguyen Nguyen Van Huynh Sunghwan Kim Quoc-Viet Pham 251 38 0 30 May 2024
ParsNets: A Parsimonious Orthogonal and Low-Rank Linear Networks for Zero-Shot Learning Jingcai Guo Qihua Zhou Ruibin Li Xiaocheng Lu Ziming Liu Junyang Chen Xin Xie Jie Zhang 316 4 0 15 Dec 2023
EGANS: Evolutionary Generative Adversarial Network Search for Zero-Shot LearningIEEE Transactions on Evolutionary Computation (IEEE TEVC), 2023 Shiming Chen Shuhuang Chen W. Hou Weiping Ding Xinge You GAN 259 18 0 19 Aug 2023
Exploring Resiliency to Natural Image Corruptions in Deep Learning using Design Diversity Rafael Rosales Pablo Munoz Michael Paulitsch 132 2 0 15 Mar 2023
ODIN: On-demand Data Formulation to Mitigate Dataset Lock-in SP Choi Jihun Lee HyeongSeok Ahn Sanghee Jung Bumsoo Kang VLM 139 0 0 13 Mar 2023
DiRaC-I: Identifying Diverse and Rare Training Classes for Zero-Shot Learning Sandipan Sarma Arijit Sur VLM 196 2 0 31 Dec 2022
Prototype Completion for Few-Shot LearningIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021 Baoquan Zhang Xutao Li Yunming Ye Shanshan Feng VLM 327 27 0 11 Aug 2021