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08/24/2023
Masked Autoencoders are Efficient Class Incremental Learners
Class Incremental Learning (CIL) aims to sequentially learn new classes ...
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12/16/2022
Robust Saliency Guidance for Data-free Class Incremental Learning
Data-Free Class Incremental Learning (DFCIL) aims to sequentially learn ...
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11/22/2022
Gated Class-Attention with Cascaded Feature Drift Compensation for Exemplar-free Continual Learning of Vision Transformers
In this paper we propose a new method for exemplar-free class incrementa...
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10/01/2022
Long-Tailed Class Incremental Learning
In class incremental learning (CIL) a model must learn new classes in a ...
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08/15/2022
Towards Informed Design and Validation Assistance in Computer Games Using Imitation Learning
In games, as in and many other domains, design validation and testing is...
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02/21/2022
CCPT: Automatic Gameplay Testing and Validation with Curiosity-Conditioned Proximal Trajectories
This paper proposes a novel deep reinforcement learning algorithm to per...
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12/30/2021
Continually Learning Self-Supervised Representations with Projected Functional Regularization
Recent self-supervised learning methods are able to learn high-quality i...
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04/21/2021
Policy Fusion for Adaptive and Customizable Reinforcement Learning Agents
In this article we study the problem of training intelligent agents usin...
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02/03/2021
Robust pedestrian detection in thermal imagery using synthesized images
In this paper we propose a method for improving pedestrian detection in ...
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12/07/2020
Deep Policy Networks for NPC Behaviors that Adapt to Changing Design Parameters in Roguelike Games
Recent advances in Deep Reinforcement Learning (DRL) have largely focuse...
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12/04/2020
Demonstration-efficient Inverse Reinforcement Learning in Procedurally Generated Environments
Deep Reinforcement Learning achieves very good results in domains where ...
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12/03/2020
DeepCrawl: Deep Reinforcement Learning for Turn-based Strategy Games
In this paper we introduce DeepCrawl, a fully-playable Roguelike prototy...
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07/13/2020
RATT: Recurrent Attention to Transient Tasks for Continual Image Captioning
Research on continual learning has led to a variety of approaches to mit...
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04/20/2020
Generative Feature Replay For Class-Incremental Learning
Humans are capable of learning new tasks without forgetting previous one...
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03/22/2020
Visual Question Answering for Cultural Heritage
Technology and the fruition of cultural heritage are becoming increasing...
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02/17/2019
Exploiting Unlabeled Data in CNNs by Self-supervised Learning to Rank
For many applications the collection of labeled data is expensive labori...
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09/04/2018
Soft-PHOC Descriptor for End-to-End Word Spotting in Egocentric Scene Images
Word spotting in natural scene images has many applications in scene und...
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03/08/2018
Leveraging Unlabeled Data for Crowd Counting by Learning to Rank
We propose a novel crowd counting approach that leverages abundantly ava...
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02/08/2018
Rotate your Networks: Better Weight Consolidation and Less Catastrophic Forgetting
In this paper we propose an approach to avoiding catastrophic forgetting...
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09/04/2017
Domain-adaptive deep network compression
Deep Neural Networks trained on large datasets can be easily transferred...
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08/24/2017
Review on Computer Vision Techniques in Emergency Situation
In emergency situations, actions that save lives and limit the impact of...
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07/26/2017
RankIQA: Learning from Rankings for No-reference Image Quality Assessment
We propose a no-reference image quality assessment (NR-IQA) approach tha...
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06/05/2017
Visual attention models for scene text recognition
In this paper we propose an approach to lexicon-free recognition of text...
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01/16/2017
Bandwidth limited object recognition in high resolution imagery
This paper proposes a novel method to optimize bandwidth usage for objec...
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12/14/2016
Scale Coding Bag of Deep Features for Human Attribute and Action Recognition
Most approaches to human attribute and action recognition in still image...
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04/23/2015