… the use of task-specific training data to produce partitioning that is substantially more bene…
than unsupervised partitioning in terms of addressing the task-specific image partitioning …

… of task-specific ResNet models given a shared input image. … Aside from subtle differences,
task-specific differentiation did … task-specific differentiation afforded by feature partitioning …

… structures on image domains. We then unfold the traditional graph-partitioning problem into
a … (SSGNet), to represent the task-specific informative structures. The SSGNet yields a set of …

… In our experiments, we follow [24] and adopt a subset of 13, 230 images of 147 subjects
in 5 … those without any striaghtforward task-specific interpretation (eg, partitioning the Multi-PIE …

… images, there are always some initial partitions poorly adhering the real boundaries. The
subsequent merging cannot adjust the shapes of these worry superpixels and these …

… Examples of such applications may arise in online image annotation where new images are
… to all gk as partition functions, ur as region specific models and vt as task specific model. We …

… single image, and in Chapter 6 a method for matching image … partitioned by a hyperplane
passing through the vertex and perpendicular to one of the coordinate axes of X. The partition …

… image used for target detection will contain no more than 1 bit of relevant information. We
will refer to this relevant information as task-specific … for several tasks and imaging systems of …

… networks for both image-level clas… that partitions the parameters into shared and task-specific
branches. More explicitly, it comprises one branch shared across all tasks and task-specific …

… variation in SAR image, so directly applying it to SAR images cannot achieve satisfactory …
a superpixel generation method for SAR images. We first partition the SAR image I ∝ RH×W …