May 13, 2022 · Our model, Knowledge-Guided Simple Primitives (KG-SP), achieves state of the art in both OW-CZSL and pCZSL, surpassing most recent competitors.
Since we couple independent primitive prediction with external knowlede to refine them, we name the method. Knowledge-guided Simple Primitives (KG-SP).
This is the PyTorch code our CVPR 2022 work KG-SP: Knowledge Guided Simple Primitives for Open World Compositional Zero-Shot Learning.
Since we couple independent primitive prediction with external knowlede to refine them, we name the method. Knowledge-guided Simple Primitives (KG-SP).
KG-SP: Knowledge Guided Simple Primitives for Open World Compositional Zero-Shot Learning. –. Supplementary Material. Shyamgopal Karthik1. Massimiliano Mancini1.
To address the aforementioned problems, we propose Progressive Cross-primitive Compatibility (ProCC) network to recognize compositions in the open-world setting ...
KG-SP: Knowledge Guided Simple Primitives for Open World Compositional Zero-Shot Learning · Computer Science. 2022 IEEE/CVF Conference on Computer Vision and…
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May 13, 2022 · KG-SP: Knowledge Guided Simple Primitives for Open World Compositional Zero-Shot Learning ; Shyamgopal Karthik at University of Tuebingen.
Compositional zero-shot learning (CZSL) refers to recognizing unseen compositions of known visual primitives, which is an essential ability for artificial ...
Jul 18, 2024 · CZSL aims to learn visual concepts as compositions of attribute and object primitives. For example, a composition Red Car consists of attribute ...