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cs.CV2024
ShapeFormer: Shape Prior Visible-to-Amodal Transformer-based Amodal Instance Segmentation
Minh Tran, Winston Bounsavy, Khoa Vo +3
Amodal Instance Segmentation (AIS) presents a challenging task as it involves predicting both visible and occluded parts of objects within images. Existing AIS methods rely on a bi…
cs.CV2021★ 1 cited
Semi-Supervised Adversarial Discriminative Domain Adaptation
Thai-Vu Nguyen, Anh Nguyen, Nghia Le +1
Domain adaptation is a potential method to train a powerful deep neural network, which can handle the absence of labeled data. More precisely, domain adaptation solving the limitat…