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03/10/2023
Dynamic Y-KD: A Hybrid Approach to Continual Instance Segmentation
Despite the success of deep learning methods on instance segmentation, t...
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03/03/2023
MixVPR: Feature Mixing for Visual Place Recognition
Visual Place Recognition (VPR) is a crucial part of mobile robotics and ...
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02/28/2023
Global Proxy-based Hard Mining for Visual Place Recognition
Learning deep representations for visual place recognition is commonly p...
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10/19/2022
GSV-Cities: Toward Appropriate Supervised Visual Place Recognition
This paper aims to investigate representation learning for large scale v...
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07/21/2020
Domain Generalization with Optimal Transport and Metric Learning
Generalizing knowledge to unseen domains, where data and labels are unav...
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05/24/2020
Discriminative Active Learning for Domain Adaptation
Domain Adaptation aiming to learn a transferable feature between differe...
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01/29/2020
The Indian Chefs Process
This paper introduces the Indian Chefs Process (ICP), a Bayesian nonpara...
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12/13/2019
Few-shot Learning with Contextual Cueing for Object Recognition in Complex Scenes
Few-shot Learning aims to recognize new concepts from a small number of ...
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03/06/2019
GQ-STN: Optimizing One-Shot Grasp Detection based on Robustness Classifier
Grasping is a fundamental robotic task needed for the deployment of hous...
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11/21/2017
A generative adversarial framework for positive-unlabeled classification
In this work, we consider the task of classifying the binary positive-un...
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10/28/2017
Multi-Task Learning by Deep Collaboration and Application in Facial Landmark Detection
Convolutional neural networks (CNN) have become the most successful and ...
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06/02/2016
Dictionary Learning for Robotic Grasp Recognition and Detection
The ability to grasp ordinary and potentially never-seen objects is an i...
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05/30/2016
Parametric Exponential Linear Unit for Deep Convolutional Neural Networks
The activation function is an important component in Convolutional Neura...
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01/15/2014