Abstract: Embodiments of the subject matter described herein relate to object detection based on neural network. In some implementations, a candidate region in an image, a first score and a plurality of positions associated with the candidate region are determined from a feature map of the image, and the first score indicates a probability that the candidate region corresponds to a particular portion of an object. A plurality of second scores are determined from the feature map and indicate probabilities that the plurality of positions correspond to a plurality of parts of the object, respectively. A final score of the candidate region is determined based on the first score and the plurality of second scores, to identify the particular portion of the object in the image.