A complex software system typically has a large number of objects in the memory, holding references to each other to implement an object model. Deciding when the objects should be...
Recently, the bag-of-words (BOW) based image representation is getting popular in object categorization. However, there is no available visual vocabulary and it has to be learned. ...
Chunjie Zhang, Jing Liu, Yi Ouyang, Hanqing Lu, So...
—We describe an object detection system based on mixtures of multiscale deformable part models. Our system is able to represent highly variable object classes and achieves state-...
Pedro F. Felzenszwalb, Ross B. Girshick, David A. ...
Most object detection techniques discussed in the literature are based solely on texture-based features that capture the global or local appearance of an object. While results indi...
Here we explore a discriminative learning method on underlying generative models for the purpose of discriminating between object categories. Visual recognition algorithms learn m...