Generative state estimators based on probabilistic filters and smoothers are one of the most popular classes of state estimators for robots and autonomous vehicles.

Foreachparticipantit threelabels: the "suggested" label (binary), the "seen" label (categoricalwiththree "liked" label (categoricalwiththreeclasses) foratotalof 14 dimensions.

Empirical results show that our approach can achieve substantial improvement over the state-of-the-art baselines.

Neural Information Processing Systems http://nips.cc/

This work explores the possibility oflearning generic latentrelationalgraphs thatcapturedependencies betweenpairsofdataunits(e.g., words or pixels) from large-scale unlabeled data and transferring the graphs to downstream tasks.

Hair editing is a critical image synthesis task that aims to edit hair color and hairstyle using textdescriptions orreference images, while preserving irrelevant attributes(e.g.,identity,background,cloth).

Thegoal targetobjectisinthefridge. 4000 steps 3. Set Table: Getabowl (see Fig.19c).

Robotics,autonomousdriving,augmentedreality,andmanyembodiedcomputer vision applications must quickly react to user-defined events unfolding in real time.

In this work, we propose a novel and surprisingly simple routing strategy called self-routing, where each capsule is routed independently by its subordinate routing network. Therefore, the agreement between capsules is not required anymore, but both poses and activations of upper-level capsules are obtained in a way similar to Mixture-of-Experts. Our experiments on CIFAR10, SVHN, and SmallNORB showthat the self-routing performs more robustly against white-box adversarial attacks and affine transformations, requiring less computation.

Exploiting the short-sighted gradients should be balanced with adequate explorations.