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A New Benchmark and Approach for Fine-grained Cross-media Retrieval
Cross-media retrieval is to return the results of various media types co...
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Object-aware Aggregation with Bidirectional Temporal Graph for Video Captioning
Video captioning aims to automatically generate natural language descrip...
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Text-to-image Synthesis via Symmetrical Distillation Networks
Text-to-image synthesis aims to automatically generate images according ...
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Visual Data Synthesis via GAN for Zero-Shot Video Classification
Zero-Shot Learning (ZSL) in video classification is a promising research...
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Better and Faster: Knowledge Transfer from Multiple Self-supervised Learning Tasks via Graph Distillation for Video Classification
Video representation learning is a vital problem for classification task...
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Cross-media Multi-level Alignment with Relation Attention Network
With the rapid growth of multimedia data, such as image and text, it is ...
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Deep Cross-media Knowledge Transfer
Cross-media retrieval is a research hotspot in multimedia area, which ai...
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Deep Reinforcement Learning for Image Hashing
Deep hashing methods have received much attention recently, which achiev...
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SCH-GAN: Semi-supervised Cross-modal Hashing by Generative Adversarial Network
Cross-modal hashing aims to map heterogeneous multimedia data into a com...
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Unsupervised Generative Adversarial Cross-modal Hashing
Cross-modal hashing aims to map heterogeneous multimedia data into a com...
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Two-stream Collaborative Learning with Spatial-Temporal Attention for Video Classification
Video classification is highly important with wide applications, such as...
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CM-GANs: Cross-modal Generative Adversarial Networks for Common Representation Learning
It is known that the inconsistent distribution and representation of dif...
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Fast Fine-grained Image Classification via Weakly Supervised Discriminative Localization
Fine-grained image classification is to recognize hundreds of subcategor...
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Fine-grained Discriminative Localization via Saliency-guided Faster R-CNN
Discriminative localization is essential for fine-grained image classifi...
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Modality-specific Cross-modal Similarity Measurement with Recurrent Attention Network
Nowadays, cross-modal retrieval plays an indispensable role to flexibly ...
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MHTN: Modal-adversarial Hybrid Transfer Network for Cross-modal Retrieval
Cross-modal retrieval has drawn wide interest for retrieval across diffe...
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Cross-modal Common Representation Learning by Hybrid Transfer Network
DNN-based cross-modal retrieval is a research hotspot to retrieve across...
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Cross-media Similarity Metric Learning with Unified Deep Networks
As a highlighting research topic in the multimedia area, cross-media ret...
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Fine-graind Image Classification via Combining Vision and Language
Fine-grained image classification is a challenging task due to the large...
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An Overview of Cross-media Retrieval: Concepts, Methodologies, Benchmarks and Challenges
Multimedia retrieval plays an indispensable role in big data utilization...
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CCL: Cross-modal Correlation Learning with Multi-grained Fusion by Hierarchical Network
Cross-modal retrieval has become a highlighted research topic for retrie...
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Object-Part Attention Model for Fine-grained Image Classification
Fine-grained image classification is to recognize hundreds of subcategor...
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Saliency-guided video classification via adaptively weighted learning
Video classification is productive in many practical applications, and t...
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Cross-modal Deep Metric Learning with Multi-task Regularization
DNN-based cross-modal retrieval has become a research hotspot, by which ...
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Query-adaptive Image Retrieval by Deep Weighted Hashing
Hashing methods have attracted much attention for large scale image retr...
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SSDH: Semi-supervised Deep Hashing for Large Scale Image Retrieval
Hashing methods have been widely used for efficient similarity retrieval...
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The Application of Two-level Attention Models in Deep Convolutional Neural Network for Fine-grained Image Classification
Fine-grained classification is challenging because categories can only b...
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Robust Image Analysis by L1-Norm Semi-supervised Learning
This paper presents a novel L1-norm semi-supervised learning algorithm f...
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Latent Semantic Learning with Structured Sparse Representation for Human Action Recognition
This paper proposes a novel latent semantic learning method for extracti...
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Exhaustive and Efficient Constraint Propagation: A Semi-Supervised Learning Perspective and Its Applications
This paper presents a novel pairwise constraint propagation approach by ...
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