From Region to Patch: Attribute-Aware Foreground-Background Contrastive Learning for Fine-Grained Fashion Retrieval

1 code implementation • 17 May 2023 • Jianfeng Dong, Xiaoman Peng, Zhe Ma, Daizong Liu, Xiaoye Qu, Xun Yang, Jixiang Zhu, Baolong Liu

As the attribute-specific similarity typically corresponds to the specific subtle regions of images, we propose a Region-to-Patch Framework (RPF) that consists of a region-aware branch and a patch-aware branch to extract fine-grained attribute-related visual features for precise retrieval in a coarse-to-fine manner.

Attribute Contrastive Learning +2

Dual Learning with Dynamic Knowledge Distillation for Partially Relevant Video Retrieval

1 code implementation • ICCV 2023 • Jianfeng Dong, Minsong Zhang, Zheng Zhang, Xianke Chen, Daizong Liu, Xiaoye Qu, Xun Wang, Baolong Liu

During the knowledge distillation, an inheritance student branch is devised to absorb the knowledge from the teacher model.

Knowledge Distillation Language Modelling +3

Hierarchical Contrast for Unsupervised Skeleton-based Action Representation Learning

1 code implementation • 5 Dec 2022 • Jianfeng Dong, Shengkai Sun, Zhonglin Liu, ShuJie Chen, Baolong Liu, Xun Wang

This paper targets unsupervised skeleton-based action representation learning and proposes a new Hierarchical Contrast (HiCo) framework.

Action Recognition Representation Learning +2

Progressive Localization Networks for Language-based Moment Localization

no code implementations • 2 Feb 2021 • Qi Zheng, Jianfeng Dong, Xiaoye Qu, Xun Yang, Yabing Wang, Pan Zhou, Baolong Liu, Xun Wang

The language-based setting of this task allows for an open set of target activities, resulting in a large variation of the temporal lengths of video moments.