Deep Learning for Videos: A 2018 Guide to Action Recognition
Medical images like MRIs, CTs (3D images) are very similar to videos - both of them encode 2D spatial information over a 3rd dimension. Much like diagnosing abnormalities from 3D images, action recognition from videos would require capturing context from entire video rather than just capturing information from each frame. Fig 1: Left: Example Head CT scan. Right: Example video from a action recogn
Smart Search and Product Discovery | ViSenze
SEE. STYLE. SHOP. Supercharge your product discovery journey with AI-powered search, deeply personalized recommendations and cutting-edge data analytics to achieve never-before-seen KPI results REQUEST A DEMO See Convert better with AI-powered visual search Let’s face it, keyword-based text search is so passe! You want search to deliver quick, accurate, and relevant products effortlessly. Fail to
SUN Database: Large-scale Scene Recognition from Abbey to Zoo
SUN Database: Large-scale Scene Recognition from Abbey to Zoo To be presented at CVPR 2010 Jianxiong Xiao James Hays Krista A. Ehinger Aude Oliva Antonio Torralba Massachusetts Institute of Technology Brown University Abstract Scene categorization is a fundamental problem in computer vision. However, scene understanding research has been constrained by the limited scope of cur
1
リリース、障害情報などのサービスのお知らせ
最新の人気エントリーの配信
処理を実行中です
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
GitHub - davidsandberg/facenet: Face recognition using Tensorflow
GitHub - AlfredXiangWu/face_verification_experiment: Original Caffe Version for LightCNN-9. Highly recommend to use PyTorch Version (https://github.com/AlfredXiangWu/LightCNN)
LifeCLEF 2015 | ImageCLEF / LifeCLEF - Multimedia Retrieval in CLEF
MyScript
