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ProCC: Progressive Cross-primitive Compatibility for Open-World
  Compositional Zero-Shot Learning
v1v2v3v4 (latest)

ProCC: Progressive Cross-primitive Compatibility for Open-World Compositional Zero-Shot Learning

AAAI Conference on Artificial Intelligence (AAAI), 2022
19 November 2022
Fushuo Huo
Wenchao Xu
Song Guo
Jingcai Guo
Yining Qi
Ziming Liu
Xiaocheng Lu
    VLM
ArXiv (abs)PDFHTML

Papers citing "ProCC: Progressive Cross-primitive Compatibility for Open-World Compositional Zero-Shot Learning"

3 / 3 papers shown
Title
Compositional Zero-Shot Learning: A Survey
Compositional Zero-Shot Learning: A Survey
Ans Munir
Faisal Z. Qureshi
Mohsen Ali
M. H. Khan
CoGe
118
0
0
13 Oct 2025
FedAPA: Server-side Gradient-Based Adaptive Personalized Aggregation for Federated Learning on Heterogeneous Data
FedAPA: Server-side Gradient-Based Adaptive Personalized Aggregation for Federated Learning on Heterogeneous DataInternational Joint Conference on Artificial Intelligence (IJCAI), 2025
Yuxia Sun
Aoxiang Sun
Siyi Pan
Zhixiao Fu
Jingcai Guo
363
1
0
11 Feb 2025
Self-Introspective Decoding: Alleviating Hallucinations for Large Vision-Language Models
Self-Introspective Decoding: Alleviating Hallucinations for Large Vision-Language ModelsInternational Conference on Learning Representations (ICLR), 2024
Fushuo Huo
Wenchao Xu
Zhong Zhang
Yining Qi
Zhicheng Chen
Peilin Zhao
VLMMLLM
516
53
0
04 Aug 2024
1