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Pengyang Li

2 accepted papers

2025

Iterative Self-Training with Class-Aware Text-to-Image Synthesis for Visual Task Learning

AAAI 2025technical

Generative models are widely used to produce synthetic images with annotations, alleviating the burden of image collection and annotation for training deep visual models. However, challenges such as limited image diversity, noisy pseudo labels, and domain gaps between synthetic and real images often…

Cited by 0SourcePDFScholar
2021

Inference Fusion with Associative Semantics for Unseen Object Detection

AAAI 2021technical

We study the problem of object detection when training and test objects are disjoint, i.e. no training examples of the target classes are available. Existing unseen object detection approaches usually combine generic detection frameworks with a single-path unseen classifier, by aligning object regio…