Št. zadetkov: 9
Video in druga učna gradiva
Oznake:
computer science;image analysis;computer graphics;computer vision
One remarkable aspect of human vision is the ability to understand the meaning of a novel image or event quickly and effortlessly. Within a single glance, we can comprehend the semantic category of a place, its spatial layout as well as identify many of the objects that compose the scene. Approachin ...
Leto:
2009
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
computer science;computer vision
Leto:
2006
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
computer science;machine learning;deep learning;reinforcement learning;unsupervised learning
It is an exciting time for computer vision. With the success of new computational architectures for visual processing, such as deep neural networks (e.g., convNets) and access to image databases with millions of labeled examples (e.g., ImageNet, Places), the state of the art in computer vision is ad ...
Leto:
2016
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
computer science;computer vision;object recognition
We describe a general and exact method to considerably speed up linear object detection systems operating in a sliding, multi-scale window fashion, such as the individual part detectors of part-based
models. The main bottleneck of many of those systems is the computational cost of the convolutions b ...
Leto:
2012
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
computer science;computer vision;object recognition
This paper shows how to analyze the influences of object characteristics on detection performance and the frequency and impact of different types of false positives. In particular, we examine effects of occlusion, size, aspect ratio, visibility of parts, viewpoint, localization error, and confusion ...
Leto:
2012
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
computer science;computer vision;object recognition
We present an approach to the detection of parts of highly deformable objects, such as the human body. Instead of using kinematic constraints on relative angles used by most existing approaches for modeling part-to-part relations, we learn and use special observed 'linking' features that support par ...
Leto:
2012
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
computer science;computer vision
Traditional active learning allows a (machine) learner to query the (human) teacher for labels on examples it finds confusing. The teacher then provides a label for only that instance. This is quite
restrictive. In this paper, we propose a learning paradigm in which the learner communicates its beli ...
Leto:
2012
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
computer science;computer vision;object recognition
Hough transform based methods for object detection work by allowing image features to vote for the location of the object. While this representation allows for parts observed in different training instances to support a single object hypothesis, it also produces false positives by accumulating votes ...
Leto:
2012
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
computer science;computer vision;machine learning;semi-supervised learning
We consider the problem of semi-supervised bootstrap learning for scene categorization. Existing semi-supervised approaches are typically unreliable and face semantic drift because the learning task
is under-constrained. This is primarily because they ignore the strong interactions that often exist ...
Leto:
2012
Vir:
videolectures.net