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15 papers · 2 filters
Localising In Complex Scenes Using Balanced Adversarial Adaptation
Gil Avraham, Yan Zuo, Tom Drummond
Domain adaptation and generative modelling have collectively mitigated the expensive nature of data collection and labelling by leveraging the rich abundance of accurate, labelled…
Binary Neural Networks for Memory-Efficient and Effective Visual Place Recognition in Changing Environments
Bruno Ferrarini, Michael Milford, Klaus D. McDonald-Maier +1
Visual place recognition (VPR) is a robot's ability to determine whether a place was visited before using visual data. While conventional hand-crafted methods for VPR fail under ex…
Delta Descriptors: Change-Based Place Representation for Robust Visual Localization
Sourav Garg, Ben Harwood, Gaurangi Anand +1
Visual place recognition is challenging because there are so many factors that can cause the appearance of a place to change, from day-night cycles to seasonal change to atmospheri…
Multiview Detection with Feature Perspective Transformation
Yunzhong Hou, Liang Zheng, Stephen Gould
Incorporating multiple camera views for detection alleviates the impact of occlusions in crowded scenes. In a multiview system, we need to answer two important questions when deali…
Few-Shot Anomaly Detection for Polyp Frames from Colonoscopy
Yu Tian, Gabriel Maicas, Leonardo Zorron Cheng Tao Pu +3
Anomaly detection methods generally target the learning of a normal image distribution (i.e., inliers showing healthy cases) and during testing, samples relatively far from the lea…
Channel Attention based Iterative Residual Learning for Depth Map Super-Resolution
Xibin Song, Yuchao Dai, Dingfu Zhou +4
Despite the remarkable progresses made in deep-learning based depth map super-resolution (DSR), how to tackle real-world degradation in low-resolution (LR) depth maps remains a maj…