no code implementations • 6 May 2024 • Jiacheng Cheng, Hijung Valentina Shin, Nuno Vasconcelos, Bryan Russell, Fabian Caba Heilbron
In this work, we consider the task of paraphrased text-to-image retrieval where a model aims to return similar results given a pair of paraphrased queries.
no code implementations • CVPR 2022 • Jiacheng Cheng, Nuno Vasconcelos
This suggests the hypothesis that DNN calibration can be improved by providing calibration supervision to all such binary problems.
no code implementations • CVPR 2021 • Jiacheng Cheng, Nuno Vasconcelos
The problem of novelty detection in fine-grained visual classification (FGVC) is considered.
no code implementations • ICML 2020 • Jiacheng Cheng, Tongliang Liu, Kotagiri Ramamohanarao, DaCheng Tao
Inspired by the idea of learning with distilled examples, we then propose a learning algorithm with theoretical guarantees for its robustness to BILN.