Hierarchical visual primitive experts for compositional zero-shot learning
Compositional zero-shot learning (CZSL) aims to recognize unseen compositions with prior
knowledge of known primitives (attribute and object). Previous works for CZSL often suffer …
knowledge of known primitives (attribute and object). Previous works for CZSL often suffer …
Leveraging sub-class discimination for compositional zero-shot learning
X Hu, Z Wang - Proceedings of the AAAI Conference on Artificial …, 2023 - ojs.aaai.org
Abstract Compositional Zero-Shot Learning (CZSL) aims at identifying unseen compositions
composed of previously seen attributes and objects during the test phase. In real images …
composed of previously seen attributes and objects during the test phase. In real images …
Distilled reverse attention network for open-world compositional zero-shot learning
Abstract Open-World Compositional Zero-Shot Learning (OW-CZSL) aims to recognize new
compositions of seen attributes and objects. In OW-CZSL, methods built on the conventional …
compositions of seen attributes and objects. In OW-CZSL, methods built on the conventional …
Context-based and Diversity-driven Specificity in Compositional Zero-Shot Learning
Abstract Compositional Zero-Shot Learning (CZSL) aims to recognize unseen attribute-
object pairs based on a limited set of observed examples. Current CZSL methodologies …
object pairs based on a limited set of observed examples. Current CZSL methodologies …
Simple primitives with feasibility-and contextuality-dependence for open-world compositional zero-shot learning
The task of Open-World Compositional Zero-Shot Learning (OW-CZSL) is to recognize novel
state-object compositions in images from all possible compositions, where the novel …
state-object compositions in images from all possible compositions, where the novel …
Procc: Progressive cross-primitive compatibility for open-world compositional zero-shot learning
Open-World Compositional Zero-shot Learning (OW-CZSL) aims to recognize novel
compositions of state and object primitives in images with no priors on the compositional …
compositions of state and object primitives in images with no priors on the compositional …
A Dynamic Learning Method towards Realistic Compositional Zero-Shot Learning
X Hu, Z Wang - Proceedings of the AAAI Conference on Artificial …, 2024 - ojs.aaai.org
To tackle the challenge of recognizing images of unseen attribute-object compositions,
Compositional Zero-Shot Learning (CZSL) methods have been previously addressed …
Compositional Zero-Shot Learning (CZSL) methods have been previously addressed …
Contextual Interaction via Primitive-based Adversarial Training For Compositional Zero-shot Learning
Compositional Zero-shot Learning (CZSL) aims to identify novel compositions via known
attribute-object pairs. The primary challenge in CZSL tasks lies in the significant …
attribute-object pairs. The primary challenge in CZSL tasks lies in the significant …
Focusing on valid search space in Open-World Compositional Zero-Shot Learning by leveraging misleading answers.
S Kim, S Lee, YS Choi - IEEE Access, 2024 - ieeexplore.ieee.org
The goal of Compositional Zero-Shot Learning (CZSL) is to recognize various compositions
of state-object pairs. Because the compositions that need to be considered are only a subset …
of state-object pairs. Because the compositions that need to be considered are only a subset …
[PDF][PDF] Continual Compositional Zero-Shot Learning
Y Zhang, S Feng, J Yuan - ijcai.org
Abstract Compositional Zero-Shot Learning (CZSL) aims to recognize unseen compositions
with the knowledge learned from seen compositions, where each composition is composed …
with the knowledge learned from seen compositions, where each composition is composed …