Given a partially annotated multi-label dataset with classes, each sample , corresponding to a specific image, and is annotated by a label vector , where , denotes whether the class is present in the image (‘1’), absent (‘−1’) or unknown (‘0’). For a given image, we denote...
pytorch-loss My implementation of label-smooth, amsoftmax, partial-fc, focal-loss, dual-focal-loss, triplet-loss, giou/diou/ciou-loss/func, affinity-loss, pc_softmax_cross_entropy, ohem-loss(softmax based on line hard mining loss), large-margin-softmax(bmvc2019), lovasz-softmax-loss, ...
Integrated multi-omics analysis of Alzheimer’s disease shows molecular signatures associated with disease progression and potential therapeutic targets Article Open access 06 March 2023 Recent advances in Alzheimer’s disease: mechanisms, clinical trials and new drug development strategies Article Open ...
This multi-frame integration will allow a more detailed comparison, improving the system’s precision and accuracy. Lastly, the robot estimates the poses and shapes of objects based on one single depth image. However, to enhance the system’s capabilities, there is a need to develop a process...