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Found 5 papers, 3 papers with code
Evolutionary Generalized Zero-Shot Learning
In this work, we propose a novel Evolutionary Generalized Zero-Shot Learning setting, which (i) avoids the domain shift problem in inductive GZSL, and (ii) is more in line with the needs of real-world deployments than transductive GZSL.
Mutual Balancing in State-Object Components for Compositional Zero-Shot Learning
Compositional Zero-Shot Learning (CZSL) aims to recognize unseen compositions from seen states and objects.
Weighted Contrastive Hashing
The development of unsupervised hashing is advanced by the recent popular contrastive learning paradigm.
Zero-Shot Logit Adjustment
As a consequence of our derivation, the aforementioned two properties are incorporated into the classifier training as seen-unseen priors via logit adjustment.
Ranked #1 on
Generalized Zero-Shot Learning
on AwA2
(Accuracy Unseen metric)
Deconstructed Generation-Based Zero-Shot Model
Recent research on Generalized Zero-Shot Learning (GZSL) has focused primarily on generation-based methods.
