Titlebook: Computer Vision –ACCV 2016; 13th Asian Conferenc Shang-Hong Lai,Vincent Lepetit,Yoichi Sato Conference proceedings 2017 Springer Internatio

eardrum

textile

R-CNN for Small Object Detection for studying various design choices. Experiment results show that the augmented R-CNN algorithm improves the mean average precision by 29.8% over the original R-CNN algorithm on detecting small objects.

外來

獨(dú)裁政府

Visual Concept Recognition and Localization via Iterative Introspectiondatasets, where we obtain competitive or state-of-the-art results: on Stanford-40 Actions, we set a new state-of the art of 81.74%. On FGVC-Aircraft and the Stanford Dogs dataset, we show consistent improvements over baselines, some of which include significantly more supervision.

Ethics

FLAX

Generalized Fusion Moves for Continuous Label Optimizationhe fusion step optimizes over binary and continuous sets of variables representing label ranges. Further, each fusion step can optimize over additional continuous unknowns. We demonstrate the general method on a variational-inspired stereo approach, and optionally optimize over radiometric changes between the images as well.

Facilities

VEN

木質(zhì)

江湖騙子

Computer Vision –ACCV 2016978-3-319-54193-8Series ISSN 0302-9743 Series E-ISSN 1611-3349