1. 论文和代码地址 Variational Transformer: A Framework Beyond the Trade-off between Accuracy and Diversity for Image Captioning 论文地址：https://arxiv.org/abs/2205.14458[1]代码地址：未开源 2. Motivation 在图像字幕中，生成多样化和准确的字幕是一项具有挑战性的任务，尽管付出了最大努力，但尚未完成。
1. 论文和代码地址 Variational Transformer: A Framework Beyond the Trade-off between Accuracy and Diversity for Image Captioning 论文地址:https://arxiv.org/abs/2205.14458 [1] 代码地址:未开源 2. Motivation 在图像字幕中,生成多样化和准确的字幕是一项具有挑战性的任务,尽管付出了最大努力,但尚未完成。虽...
此外,Transformer在纯视觉领域也显示出巨大的潜力,已经提出了许多基于Transformer的架构来解决不同的视觉任务[Khan等人,2021]。 在这种进步的推动下,一款基于纯transformer的同质编码器-解码器字幕器即将问世。如图2所示,一个简单的同质架构可以如下配置:视觉编码器被设置为一个预先训练过的视觉Transformer[Liu等人,2021b]...
1. 论文和代码地址 Variational Transformer: A Framework Beyond the Trade-off between Accuracy and Diversity for Image Captioning 论文地址:https://arxiv.org/abs/2205.14458[1] 代码地址:未开源 2. Motivation 在图像字幕中,生成多样化和准确的字幕是一项具有挑战性的任务,尽管付出了最大努力,但尚未完成。虽然...
and so on. A good captioning system will be capable of highlighting the contextual information in the image similar to human cognitive system. In the recent years, several techniques for automatic caption generation in images have been proposed that can effectively solve many computer vision ...
Image Captioning (IC) has achieved astonishing developments by incorporating various techniques into the CNN-RNN encoder-decoder architecture. However, since CNN and RNN do not share the basic network component, such a heterogeneous pipeline is hard to be trained end-to-end where the visual encoder...
nlpmachine-learningdeep-learningneural-networkartificial-intelligencetransformerimage-captioningvideo-recognitionmultimodal-learningmultitask-learning UpdatedOct 31, 2020 Python Custom ComfyUI nodes for Vision Language Models, Large Language Models, Image to Music, Text to Music, Consistent and Random Creative ...
CA⫶TR: Image Captioning with Transformers PyTorch training code and pretrained models for CATR (CAption TRansformer). The models are also available via torch hub, to load model with pretrained weights simply do: model = torch.hub.load('saahiluppal/catr', 'v3', pretrained=True) # you can ...
//storage.googleapis.com/sfr-vision-language-research/BLIP/demo.jpg' img_url = 'https://ww4.sinaimg.cn/thumb150/006ymYXKgy1gahftdd597j31o00u079k.jpg' raw_image = Image.open(requests.get(img_url, stream=True).raw).convert('RGB') # conditional image captioning text = "a photography ...
Transformer网络写起来比CNN要复杂一些,现在做Image Captioning,Transformer based 的模型在这个领域展现了优秀的成绩,花了点时间弄清transformer网络的细节。 代码来自:ruotianluo/ImageCaptioning.pytorch 网络是原版的transformer[1],为Image Captioning作了微调,数据是MSCOCO Image Captioning[2]. ...