… differences exist between pixel-level context and instance-level context, … for pedestrian
detection, which integrates these two kinds of context information. Specifically, for the pixel-level …

… pedestrian detection as an example, we provide a new perspective where detecting objects
is motivated as a high-level … Therefore, in this paper, pedestrian detection is simplified as a …

… pixel-level feature fusion network called the ASPFF Net, which can adaptively extract
spatial pixel-level … Under the control of weights of spatial and pixel levels, the spatial pixel-level …

… To this end, we present a novel multispectral pedestrian detector performing locality guided
… pixel-level detection fusion. Given a number of single bounding boxes covering pedestrians …

… intrinsic to detection in crowded scenes. It would be even stronger if we did not refine
hypotheses on the pixel level. However, also in our approach it has a negative impact on detection …

… As mentioned, the Cityscapes dataset provides pixellevel semantic segmentation … pixellevel
segmentation labels as supervisor (ie., our HyperLearner jointly learns pedestrian detection …

… similarity is computed at the pixel level, assuming a Gaussian … 50-pixel-or-taller, unoccluded
pedestrians, any annotation labeled as occluded and any annotation or detection <50 pixels …

… pedestrian detection. Extensive results based on a multispectral pedestrian benchmark show
that some pixel-level … importance of pixel-level fusion in CNN-based pedestrian detectors. …

… -level and low-level context have been presented. Typical examples of high-level context in…
[25], and examples of low-level context are local pixel context [6, 46] and shape context [32]. …

… If we tried to learn the structure of the people class using a pixel-based representation, it
is not likely to succeed due to the lack of consistency in the patterns at this level of detail. A …