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Found 6 papers, 1 papers with code
Multi-modal Deep Analysis for Multimedia
To address the two scientific problems, we investigate them from the following aspects: 1) multi-modal correlational representation: multi-modal fusion of data across different modalities, and 2) multi-modal data and knowledge fusion: multi-modal fusion of data with domain knowledge.
Rethinking Classification and Localization for Object Detection
Two head structures (i. e. fully connected head and convolution head) have been widely used in R-CNN based detectors for classification and localization tasks.
PatternNet: Visual Pattern Mining with Deep Neural Network
In this paper, we study the problem of visual pattern mining and propose a novel deep neural network architecture called PatternNet for discovering these patterns that are both discriminative and representative.
Event Specific Multimodal Pattern Mining with Image-Caption Pairs
In this paper we describe a novel framework and algorithms for discovering image patch patterns from a large corpus of weakly supervised image-caption pairs generated from news events.
