Expanding Object Detector’s H ORIZON: Incremental Learning Framework for Object Detection in Videos Alina Kuznetsova1,3 , Sung Ju Hwang2 , Bodo Rosenhahn1 , Leonid Sigal3 1 Leibniz University Hannover, 2 UNIST, 3 Disn

Source URL: www.tnt.uni-hannover.de

Active Skeleton for Non-rigid Object Detection Xiang Bai ∗ Huazhong Univ. of Sci.&Tech. Xinggang Wang Huazhong Univ. of Sci.&Tech.

Source URL: pages.ucsd.edu

Noname manuscript No. (will be inserted by the editor) Shape-based Object Detection via Boundary Structure Segmentation Alexander Toshev · Ben Taskar · Kostas Daniilidis

Source URL: www.seas.upenn.edu

Object Detection from Large-Scale 3D Datasets using Bottom-up and Top-down Descriptors Alexander Patterson IV, Philippos Mordohai and Kostas Daniilidis {aiv,mordohai,kostas}@seas.upenn.edu University of Pennsylvania

Source URL: www.cs.stevens.edu

Deep Sliding Shapes for Amodal 3D Object Detection in RGB-D Images Space size: 5.2×5.2×2.5 m3 Receptive field: m3 Softmax

Source URL: vision.princeton.edu

Robust Real-time Object Detection Paul Viola Michael J. Jones CRL

Source URL: zoo.cs.yale.edu

1-HKUST: Multi-frame Faster RCNN for Video Object Detection Hengyuan ♯ Hu ,

Source URL: image-net.org

Object Detection Analysis Code (v2) Derek Hoiem University of Illinois at Urbana-Champaign July 31,

Source URL: web.engr.illinois.edu

Shape Band: A Deformable Object Detection Approach Xiang Bai ∗ Dept. of Electronics and Info. Eng. Huazhong Univ. of Science and Technology Quannan Li,

Source URL: pages.ucsd.edu

ISSN No: International Journal & Magazine of Engineering, Technology, Management and Research A Peer Reviewed Open Access International Journal

Source URL: www.ijmetmr.com

• Feature detection
• Vision
• Artificial intelligence
• Scale-invariant feature transform
• Outline of object recognition
• Speeded up robust features
• Corner detection
• Image stitching
• Image registration
• Edge detection
• Feature
• 3D single-object recognition