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07/24/2023
GridMM: Grid Memory Map for Vision-and-Language Navigation
Vision-and-language navigation (VLN) enables the agent to navigate to a ...
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03/28/2023
KERM: Knowledge Enhanced Reasoning for Vision-and-Language Navigation
Vision-and-language navigation (VLN) is the task to enable an embodied a...
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10/10/2022
Deep Learning for Logo Detection: A Survey
When logos are increasingly created, logo detection has gradually become...
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09/05/2021
Hierarchical Object-to-Zone Graph for Object Navigation
The goal of object navigation is to reach the expected objects according...
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08/10/2021
FoodLogoDet-1500: A Dataset for Large-Scale Food Logo Detection via Multi-Scale Feature Decoupling Network
Food logo detection plays an important role in the multimedia for its wi...
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08/06/2021
Vision-Based Food Analysis for Automatic Dietary Assessment
Background: Maintaining a healthy diet is vital to avoid health-related ...
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07/13/2021
Towards Building a Food Knowledge Graph for Internet of Food
Background: The deployment of various networks (e.g., Internet of Things...
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03/30/2021
Large Scale Visual Food Recognition
Food recognition plays an important role in food choice and intake, whic...
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02/09/2021
Rethinking Ranking-based Loss Functions: Only Penalizing Negative Instances before Positive Ones is Enough
Optimising the approximation of Average Precision (AP) has been widely s...
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08/18/2020
Dataset Bias in Few-shot Image Recognition
The goal of few-shot image recognition (FSIR) is to identify novel categ...
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08/13/2020
ISIA Food-500: A Dataset for Large-Scale Food Recognition via Stacked Global-Local Attention Network
Food recognition has received more and more attention in the multimedia ...
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08/12/2020
LogoDet-3K: A Large-Scale Image Dataset for Logo Detection
Logo detection has been gaining considerable attention because of its wi...
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09/07/2019
Scene Recognition with Prototype-agnostic Scene Layout
Abstract--- Exploiting the spatial structure in scene images is a key re...
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07/11/2019
Multifaceted Analysis of Fine-Tuning in Deep Model for Visual Recognition
In recent years, convolutional neural networks (CNNs) have achieved impr...
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05/15/2019
Food Recommendation: Framework, Existing Solutions and Challenges
A growing proportion of the global population is becoming overweight or ...
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10/23/2018
Hierarchy-Dependent Cross-Platform Multi-View Feature Learning for Venue Category Prediction
In this work, we focus on visual venue category prediction, which can fa...
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09/17/2018
Learning Effective RGB-D Representations for Scene Recognition
Deep convolutional networks (CNN) can achieve impressive results on RGB ...
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08/22/2018
A Survey on Food Computing
Food is essential for human life and it is fundamental to the human expe...
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01/22/2018
Food recognition and recipe analysis: integrating visual content, context and external knowledge
The central role of food in our individual and social life, combined wit...
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01/21/2018
Scene recognition with CNNs: objects, scales and dataset bias
Since scenes are composed in part of objects, accurate recognition of sc...
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01/21/2018
