Abstract: According to one embodiment, a learning apparatus includes processing circuitry that generates a detection network for detecting an object from an image belonging to a target domain. The processing circuitry computes a detection task loss by supervised learning of the detection network. The processing circuitry computes a domain identification loss by adversarial learning of the detection network. The processing circuitry computes a self-learning loss by self-learning of the detection network. The processing circuitry computes a total loss based on weighted addition of the domain identification loss, the detection task loss and/or the self-learning loss. The processing circuitry updates learning parameters of the detection network by minimizing the total loss.