Search Results for author: Mehrdad Hosseinzadeh

Found 8 papers, 1 papers with code

SELF-VS: Self-supervised Encoding Learning For Video Summarization

1 code implementation28 Mar 2023 Hojjat Mokhtarabadi, Kave Bahraman, Mehrdad Hosseinzadeh, Mahdi Eftekhari

Empirical evaluations on correlation-based metrics, such as Kendall's $\tau$ and Spearman's $\rho$ demonstrate the superiority of our approach compared to existing state-of-the-art methods in assigning relative scores to the input frames.

Knowledge Distillation Representation Learning +2

Few-Shot Learning of Compact Models via Task-Specific Meta Distillation

no code implementations18 Oct 2022 Yong Wu, Shekhor Chanda, Mehrdad Hosseinzadeh, Zhi Liu, Yang Wang

In this paper, we propose task-specific meta distillation that simultaneously learns two models in meta-learning: a large teacher model and a small student model.

Few-Shot Image Classification Few-Shot Learning

Image Change Captioning by Learning From an Auxiliary Task

no code implementations CVPR 2021 Mehrdad Hosseinzadeh, Yang Wang

Inspired by the success of multi-task learning, we formulate a training scheme that uses an auxiliary task to improve the training of the change captioning network.

Image Retrieval Multi-Task Learning +2

Composed Query Image Retrieval Using Locally Bounded Features

no code implementations CVPR 2020 Mehrdad Hosseinzadeh, Yang Wang

The goal is then to retrieve the images that are generally similar to the query image, but differ according to the requested modification.

Image Retrieval Retrieval +1

Diminishing the Effect of Adversarial Perturbations via Refining Feature Representation

no code implementations1 Jul 2019 Nader Asadi, AmirMohammad Sarfi, Mehrdad Hosseinzadeh, Sahba Tahsini, Mahdi Eftekhari

Our method can be applied to any layer of any arbitrary model without the need of any modification or additional training.

Cannot find the paper you are looking for? You can Submit a new open access paper.