516 citations · 751 across the 16 of their papers we have counts for
8 papers · 1 filter
BoQ: A Place is Worth a Bag of Learnable Queries
Amar Ali-Bey, Brahim Chaib-draa, Philippe Giguère
In visual place recognition, accurately identifying and matching images of locations under varying environmental conditions and viewpoints remains a significant challenge. In this…
MixVPR: Feature Mixing for Visual Place Recognition
Amar Ali-bey, Brahim Chaib-draa, Philippe Giguère
Visual Place Recognition (VPR) is a crucial part of mobile robotics and autonomous driving as well as other computer vision tasks. It refers to the process of identifying a place d…
Dynamic Y-KD: A Hybrid Approach to Continual Instance Segmentation
Mathieu Pagé-Fortin, Brahim Chaib-draa
Despite the success of deep learning models on instance segmentation, current methods still suffer from catastrophic forgetting in continual learning scenarios. In this paper, our…
Global Proxy-based Hard Mining for Visual Place Recognition
Amar Ali-bey, Brahim Chaib-draa, Philippe Giguère
Learning deep representations for visual place recognition is commonly performed using pairwise or triple loss functions that highly depend on the hardness of the examples sampled…
GSV-Cities: Toward Appropriate Supervised Visual Place Recognition
Amar Ali-bey, Brahim Chaib-draa, Philippe Giguère
This paper aims to investigate representation learning for large scale visual place recognition, which consists of determining the location depicted in a query image by referring t…
Domain Generalization via Optimal Transport with Metric Similarity Learning
Fan Zhou, Zhuqing Jiang, Changjian Shui +2
Generalizing knowledge to unseen domains, where data and labels are unavailable, is crucial for machine learning models. We tackle the domain generalization problem to learn from m…
Towards Contextual Learning in Few-shot Object Classification
Mathieu Pagé Fortin, Brahim Chaib-draa
Few-shot Learning (FSL) aims to classify new concepts from a small number of examples. While there have been an increasing amount of work on few-shot object classification in the l…
Multi-Task Learning by Deep Collaboration and Application in Facial Landmark Detection
Ludovic Trottier, Philippe Giguère, Brahim Chaib-draa
Convolutional neural networks (CNNs) have become the most successful approach in many vision-related domains. However, they are limited to domains where data is abundant. Recent wo…