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08/24/2023
Boosting Semantic Segmentation from the Perspective of Explicit Class Embeddings
Semantic segmentation is a computer vision task that associates a label ...
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06/17/2022
Sparse Double Descent: Where Network Pruning Aggravates Overfitting
People usually believe that network pruning not only reduces the computa...
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04/10/2022
Reasoning with Multi-Structure Commonsense Knowledge in Visual Dialog
Visual Dialog requires an agent to engage in a conversation with humans ...
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08/11/2020
KBGN: Knowledge-Bridge Graph Network for Adaptive Vision-Text Reasoning in Visual Dialogue
Visual dialogue is a challenging task that needs to extract implicit inf...
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07/07/2020
DAM: Deliberation, Abandon and Memory Networks for Generating Detailed and Non-repetitive Responses in Visual Dialogue
Visual Dialogue task requires an agent to be engaged in a conversation w...
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11/26/2019
Multi-Level Network for High-Speed Multi-Person Pose Estimation
In multi-person pose estimation, the left/right joint type discriminatio...
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11/19/2019
FollowMeUp Sports: New Benchmark for 2D Human Keypoint Recognition
Human pose estimation has made significant advancement in recent years. ...
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11/17/2019
DualVD: An Adaptive Dual Encoding Model for Deep Visual Understanding in Visual Dialogue
Different from Visual Question Answering task that requires to answer on...
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03/11/2019
Structured Knowledge Distillation for Semantic Segmentation
In this paper, we investigate the knowledge distillation strategy for tr...
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12/23/2018
Multi-modal Learning with Prior Visual Relation Reasoning
Visual relation reasoning is a central component in recent cross-modal a...
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11/01/2018
A sequential guiding network with attention for image captioning
The recent advances of deep learning in both computer vision (CV)and nat...
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11/01/2018
Pixel Level Data Augmentation for Semantic Image Segmentation using Generative Adversarial Networks
Semantic segmentation is one of the basic topics in computer vision, it ...
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10/31/2018
Semantic Modeling of Textual Relationships in Cross-Modal Retrieval
Feature modeling of different modalities is a basic problem in current r...
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10/31/2018
Textual Relationship Modeling for Cross-Modal Information Retrieval
Feature representation of different modalities is the main focus of curr...
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02/03/2018
Modeling Text with Graph Convolutional Network for Cross-Modal Information Retrieval
Cross-modal information retrieval aims to find heterogeneous data of var...
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12/01/2017
Text Generation Based on Generative Adversarial Nets with Latent Variable
In this paper, we propose a model using generative adversarial net (GAN)...
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11/02/2017
Data Augmentation in Emotion Classification Using Generative Adversarial Networks
It is a difficult task to classify images with multiple class labels usi...
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05/09/2017
Logical Parsing from Natural Language Based on a Neural Translation Model
Semantic parsing has emerged as a significant and powerful paradigm for ...
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05/08/2017
Generative Cooperative Net for Image Generation and Data Augmentation
How to build a good model for image generation given an abstract concept...
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05/04/2017