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09/07/2023
Better Practices for Domain Adaptation
Distribution shifts are all too common in real-world applications of mac...
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07/20/2023
Label Calibration for Semantic Segmentation Under Domain Shift
Performance of a pre-trained semantic segmentation model is likely to su...
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07/20/2023
Feed-Forward Source-Free Domain Adaptation via Class Prototypes
Source-free domain adaptation has become popular because of its practica...
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06/15/2023
Neural Fine-Tuning Search for Few-Shot Learning
In few-shot recognition, a classifier that has been trained on one set o...
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05/12/2023
Meta Omnium: A Benchmark for General-Purpose Learning-to-Learn
Meta-learning and other approaches to few-shot learning are widely studi...
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04/05/2023
Relative Entropy-Based Waveform Optimization for Rician Target Detection with Dual-Function Radar Communication Systems
In this paper, we consider waveform design for dualfunction radar-commun...
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03/25/2023
Zero-Shot Everything Sketch-Based Image Retrieval, and in Explainable Style
This paper studies the problem of zero-short sketch-based image retrieva...
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03/10/2023
Generative Model Based Noise Robust Training for Unsupervised Domain Adaptation
Target domain pseudo-labelling has shown effectiveness in unsupervised d...
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02/23/2023
Domain Generalisation via Domain Adaptation: An Adversarial Fourier Amplitude Approach
We tackle the domain generalisation (DG) problem by posing it as a domai...
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10/25/2022
Learning to Augment via Implicit Differentiation for Domain Generalization
Machine learning models are intrinsically vulnerable to domain shift bet...
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10/15/2022
Prediction Calibration for Generalized Few-shot Semantic Segmentation
Generalized Few-shot Semantic Segmentation (GFSS) aims to segment each i...
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10/11/2022
STSC-SNN: Spatio-Temporal Synaptic Connection with Temporal Convolution and Attention for Spiking Neural Networks
Spiking Neural Networks (SNNs), as one of the algorithmic models in neur...
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10/04/2022
Robust Target Training for Multi-Source Domain Adaptation
Given multiple labeled source domains and a single target domain, most e...
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08/01/2022
Attacking Adversarial Defences by Smoothing the Loss Landscape
This paper investigates a family of methods for defending against advers...
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07/17/2022
A Simple Test-Time Method for Out-of-Distribution Detection
Neural networks are known to produce over-confident predictions on input...
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07/15/2022
Feed-Forward Source-Free Latent Domain Adaptation via Cross-Attention
We study the highly practical but comparatively under-studied problem of...
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06/10/2022
Fisher SAM: Information Geometry and Sharpness Aware Minimisation
Recent sharpness-aware minimisation (SAM) is known to find flat minima w...
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04/15/2022
Pushing the Limits of Simple Pipelines for Few-Shot Learning: External Data and Fine-Tuning Make a Difference
Few-shot learning (FSL) is an important and topical problem in computer ...
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03/09/2022
Dynamic Instance Domain Adaptation
Most existing studies on unsupervised domain adaptation (UDA) assume tha...
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02/18/2022
AMS_ADRN at SemEval-2022 Task 5: A Suitable Image-text Multimodal Joint Modeling Method for Multi-task Misogyny Identification
Women are influential online, especially in image-based social media suc...
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02/01/2022
Finding lost DG: Explaining domain generalization via model complexity
The domain generalization (DG) problem setting challenges a model traine...
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01/13/2022
LP-BERT: Multi-task Pre-training Knowledge Graph BERT for Link Prediction
Link prediction plays an significant role in knowledge graph, which is a...
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07/15/2021
A Channel Coding Benchmark for Meta-Learning
Meta-learning provides a popular and effective family of methods for dat...
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03/29/2021
Learning Domain Invariant Representations for Generalizable Person Re-Identification
Generalizable person Re-Identification (ReID) has attracted growing atte...
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10/17/2020
A Stochastic Neural Network for Attack-Agnostic Adversarial Robustness
Stochastic Neural Networks (SNNs) that inject noise into their hidden la...
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04/10/2020
Full waveform inversion with unbalanced optimal transport distance
Full waveform inversion (FWI) is an important and popular technique in s...
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04/09/2020
Online Meta-Learning for Multi-Source and Semi-Supervised Domain Adaptation
Domain adaptation (DA) is the topical problem of adapting models from la...
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04/03/2020
Sequential Learning for Domain Generalization
In this paper we propose a sequential learning framework for Domain Gene...
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03/22/2020
Efficient and Stable Finite Difference Modelling of Acoustic Wave Propagation in Variable-density Media
In this paper, we consider the development and analysis of a new explici...
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03/06/2019
Large-Scale Pedestrian Retrieval Competition
The Large-Scale Pedestrian Retrieval Competition (LSPRC) mainly focuses ...
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01/31/2019
Episodic Training for Domain Generalization
Domain generalization (DG) is the challenging and topical problem of lea...
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08/07/2018
Deep Factorised Inverse-Sketching
Modelling human free-hand sketches has become topical recently, driven b...
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04/30/2018
Sketch-a-Classifier: Sketch-based Photo Classifier Generation
Contemporary deep learning techniques have made image recognition a reas...
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11/06/2017
Fast Integral Histogram Computations on GPU for Real-Time Video Analytics
In many Multimedia content analytics frameworks feature likelihood maps ...
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10/09/2017
Deeper, Broader and Artier Domain Generalization
The problem of domain generalization is to learn from multiple training ...
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11/29/2016