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Found 7 papers, 2 papers with code
Pre-training without Natural Images
Is it possible to use convolutional neural networks pre-trained without any natural images to assist natural image understanding?
Neural Joking Machine : Humorous image captioning
In the present paper, in order to consider this question from an academic standpoint, we generate an image caption that draws a "laugh" by a computer.
Collaborative Descriptors: Convolutional Maps for Preprocessing
The paper presents a novel concept for collaborative descriptors between deeply learned and hand-crafted features.
Could you guess an interesting movie from the posters?: An evaluation of vision-based features on movie poster database
In this paper, we aim to estimate the Winner of world-wide film festival from the exhibited movie poster.
Changing Fashion Cultures
The paper presents a novel concept that analyzes and visualizes worldwide fashion trends.
cvpaper.challenge in 2015 - A review of CVPR2015 and DeepSurvey
The "cvpaper. challenge" is a group composed of members from AIST, Tokyo Denki Univ.
Semantic Change Detection with Hypermaps
By the detected change areas, however, a human cannot understand how different the two images.
