Aesthetic and Social Community: Multicultural Poetry and the Anthologizing of Poems

Scholars from various disciplines have explored the concept of multiculturalism from the perspectives of citizenship, recognition, representation, tokenism, constitutionalism, and other vantage points, with politics and education receiving most of the attention. I While many efforts have been made to explore these aspects of multiculturalism, its significance in poetry, particularly in poetry\u27s composition and critique, has not been duly taken into account. Multicultural poetry designates a critical abstraction in which poetry is classified by relation to a communal culture, history, or customs. In this definition, multicultural poetry is therefore inclusive of poetry written by ethnic minorities, women, non-mainstream religious practitioners, and members of other communities. To maintain a focus, this article delimits its discussion to poetry\u27s relationship with ethnicity and probes the interplay between aesthetic and ethnicity in three sections–Mainstream Poetry Anthologies: Tastes, Schools, and the Issue of History, Multicultural Poetry Anthologies: Situated Poetry and Group Poetics, and Ethnopoetics as a Choice

SegFlow: Joint Learning for Video Object Segmentation and Optical Flow

This paper proposes an end-to-end trainable network, SegFlow, for simultaneously predicting pixel-wise object segmentation and optical flow in videos. The proposed SegFlow has two branches where useful information of object segmentation and optical flow is propagated bidirectionally in a unified framework. The segmentation branch is based on a fully convolutional network, which has been proved effective in image segmentation task, and the optical flow branch takes advantage of the FlowNet model. The unified framework is trained iteratively offline to learn a generic notion, and fine-tuned online for specific objects. Extensive experiments on both the video object segmentation and optical flow datasets demonstrate that introducing optical flow improves the performance of segmentation and vice versa, against the state-of-the-art algorithms.Comment: Accepted in ICCV'17. Code is available at https://sites.google.com/site/yihsuantsai/research/iccv17-segflo