サクサク読めて、アプリ限定の機能も多数!
トップへ戻る
災害への備え
www2.eecs.berkeley.edu
A Berkeley View of Systems Challenges for AI Ion Stoica Dawn Song Raluca Ada Popa David A. Patterson Michael W. Mahoney Randy H. Katz Anthony D. Joseph Michael Jordan Joseph M. Hellerstein Joseph Gonzalez Ken Goldberg Ali Ghodsi David E. Culler Pieter Abbeel Electrical Engineering and Computer Sciences University of California at Berkeley Technical Report No. UCB/EECS-2017-159 http://www2.eecs.ber
Contour Detection and Image Segmentation Resources Overview The goal of this work is to provide an empirical basis for research on image segmentation and boundary detection. In order to promote scientific progress in the study of visual grouping, we provide the following resources: A large dataset of natural images that have been manually segmented. The human annotations serve as ground truth for
New: The BSDS500, an extended version of the BSDS300 that includes 200 fresh test images, is now available here. The goal of this work is to provide an empirical basis for research on image segmentation and boundary detection. To this end, we have collected 12,000 hand-labeled segmentations of 1,000 Corel dataset images from 30 human subjects. Half of the segmentations were obtained from present
Classes: Spring 2015: Computer Vision (Malik) Spring 2012: Computer Vision (Malik) Spring 2011: Object and Activity Recognition (Darrell) Fall 2010: Computer Vision (Malik) Fall 2009: Computer Vision (Darrell) Spring 2009: Object and Activity Recognition (Darrell) Fall 2008: Computer Vision (Malik) Fall 2007: Computer Vision (Malik) Spring 2004: Recognizing People, Objects, and Actions (Malik) Fal
このページを最初にブックマークしてみませんか?
『www2.eecs.berkeley.edu』の新着エントリーを見る
j次のブックマーク
k前のブックマーク
lあとで読む
eコメント一覧を開く
oページを開く