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

19 November 2022

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

4 / 4 papers shown

Title
FedAPA: Server-side Gradient-Based Adaptive Personalized Aggregation for Federated Learning on Heterogeneous Data Yuxia Sun Aoxiang Sun Siyi Pan Zhixiao Fu Jingcai Guo 81 0 0 11 Feb 2025
Self-Introspective Decoding: Alleviating Hallucinations for Large Vision-Language Models Fushuo Huo Wenchao Xu Zhong Zhang Haozhao Wang Zhicheng Chen Peilin Zhao VLM MLLM 61 19 0 04 Aug 2024
Disentangling Visual Embeddings for Attributes and Objects Nirat Saini Khoi Pham Abhinav Shrivastava OCL BDL CoGe 60 61 0 17 May 2022
Learning Graph Embeddings for Open World Compositional Zero-Shot Learning Massimiliano Mancini Muhammad Ferjad Naeem Yongqin Xian Zeynep Akata CoGe 60 67 0 03 May 2021