Image Caption Generation
Found 3 free book(s)Attention and Transformers Lecture 11
cs231n.stanford.eduImage Captioning with RNNs & Attention 16 CNN Features: H x W x D h 0 Xu et al, “Show, Attend and Tell: Neural Image Caption Generation with Visual Attention”, ICML 2015 z 0,0 z 0,1 z 0,2 z 1,0 z 1,1 z 1,2 z 2,0 z 2,1 z 2,2 Attention idea: New context vector at every time step. Each context vector will attend to different image regions gif ...
Lecture 13: Generative Models
cs231n.stanford.eduCaption generated using neuraltalk2 Image is CC0 Public domain. Fei-Fei Li & Justin Johnson & Serena Yeung Lecture 13 - 9 May 18, 2017 Unsupervised Learning Data: x ... - Sequential generation => slow. Fei-Fei Li & Justin Johnson & Serena Yeung Lecture 13 - …
Generative Adversarial Text to Image Synthesis
proceedings.mlr.pressgeneration.Radford et al.(2016) used a standard convolu-tional decoder, but developed a highly effective and stable architecture incorporating batch normalization to achieve striking image synthesis results. The main distinction of our work from the conditional GANs described above is that our model conditions on text