Search Results for author: Li Ren

Found 4 papers, 2 papers with code

Learning Semantic Proxies from Visual Prompts for Parameter-Efficient Fine-Tuning in Deep Metric Learning

1 code implementation4 Feb 2024 Li Ren, Chen Chen, Liqiang Wang, Kien Hua

As a result of the success of recent pre-trained models trained from larger-scale datasets, it is challenging to adapt the model to the DML tasks in the local data domain while retaining the previously gained knowledge.

Image Retrieval Metric Learning +1

Towards Improved Proxy-based Deep Metric Learning via Data-Augmented Domain Adaptation

1 code implementation1 Jan 2024 Li Ren, Chen Chen, Liqiang Wang, Kien Hua

Our experiments on benchmarks, including the popular CUB-200-2011, CARS196, Stanford Online Products, and In-Shop Clothes Retrieval, show that our learning algorithm significantly improves the existing proxy losses and achieves superior results compared to the existing methods.

Domain Adaptation Metric Learning +1

Beyond the Deep Metric Learning: Enhance the Cross-Modal Matching with Adversarial Discriminative Domain Regularization

no code implementations23 Oct 2020 Li Ren, Kai Li, Liqiang Wang, Kien Hua

In this paper, we address this limitation with an efficient learning objective that considers the discriminative feature distributions between the visual objects and sentence words.

Metric Learning Sentence

Localize Me Anywhere, Anytime: A Multi-Task Point-Retrieval Approach

no code implementations ICCV 2015 Guoyu Lu, Yan Yan, Li Ren, Jingkuan Song, Nicu Sebe, Chandra Kambhamettu

The main contribution of our paper is that we use a 3D model reconstructed by a short video as the query to realize 3D-to-3D localization under a multi-task point retrieval framework.

Image-Based Localization Multi-Task Learning +1

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