Search Results for author: Da Li

Found 13 papers, 3 papers with code

A Channel Coding Benchmark for Meta-Learning

no code implementations15 Jul 2021 Rui Li, Ondrej Bohdal, Rajesh Mishra, Hyeji Kim, Da Li, Nicholas Lane, Timothy Hospedales

We use our MetaCC benchmark to study several aspects of meta-learning, including the impact of task distribution breadth and shift, which can be controlled in the coding problem.


Weight-Covariance Alignment for Adversarially Robust Neural Networks

no code implementations17 Oct 2020 Panagiotis Eustratiadis, Henry Gouk, Da Li, Timothy Hospedales

Stochastic Neural Networks (SNNs) that inject noise into their hidden layers have recently been shown to achieve strong robustness against adversarial attacks.

Online Meta-Learning for Multi-Source and Semi-Supervised Domain Adaptation

no code implementations ECCV 2020 Da Li, Timothy Hospedales

Therefore we propose an online shortest-path meta-learning framework that is both computationally tractable and practically effective for improving DA performance.

Meta-Learning Multi-Source Unsupervised Domain Adaptation +1

Sequential Learning for Domain Generalization

no code implementations3 Apr 2020 Da Li, Yongxin Yang, Yi-Zhe Song, Timothy Hospedales

In DG this means encountering a sequence of domains and at each step training to maximise performance on the next domain.

Domain Generalization Meta-Learning

Large-Scale Pedestrian Retrieval Competition

no code implementations6 Mar 2019 Da Li, Zhang Zhang

The Large-Scale Pedestrian Retrieval Competition (LSPRC) mainly focuses on person retrieval which is an important end application in intelligent vision system of surveillance.

Pedestrian Detection Person Retrieval

Episodic Training for Domain Generalization

2 code implementations ICCV 2019 Da Li, Jianshu Zhang, Yongxin Yang, Cong Liu, Yi-Zhe Song, Timothy M. Hospedales

In this paper, we build on this strong baseline by designing an episodic training procedure that trains a single deep network in a way that exposes it to the domain shift that characterises a novel domain at runtime.

Domain Generalization

Deep Factorised Inverse-Sketching

no code implementations ECCV 2018 Kaiyue Pang, Da Li, Jifei Song, Yi-Zhe Song, Tao Xiang, Timothy M. Hospedales

Instead there is a fundamental process of abstraction and iconic rendering, where overall geometry is warped and salient details are selectively included.

Sketch-Based Image Retrieval Style Transfer

Deeper, Broader and Artier Domain Generalization

2 code implementations ICCV 2017 Da Li, Yongxin Yang, Yi-Zhe Song, Timothy M. Hospedales

In this paper, we make two main contributions: Firstly, we build upon the favorable domain shift-robust properties of deep learning methods, and develop a low-rank parameterized CNN model for end-to-end DG learning.

Domain Generalization

A Large-scale Distributed Video Parsing and Evaluation Platform

no code implementations29 Nov 2016 Kai Yu, Yang Zhou, Da Li, Zhang Zhang, Kaiqi Huang

Visual surveillance systems have become one of the largest data sources of Big Visual Data in real world.

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