inputs = processor(text=["a photo of a cat", "a photo of a dog"], images=image, return_tensors="pt", padding=True) outputs = model(**inputs) logits_per_image = outputs.logits_per_image # this is the image-text similarity score probs = logits_per_image.softmax(dim=1) # we ...
它的Image Encoder采用的是VGG19和Resnet152,Text encoder采用的是GRU。两个Encoder输出的特征经过线性层映射到同一个联合语义空间后,采用cosine similarity计算图文相似度。它的主要贡献是:提出在训练阶段使用hardest negative triplet loss,即:只考虑mini batch中和目标最相似的样本的计算triplet loss,而不是目标样本之外...
Deep Attentional Multimodal Similarity Model DAMSM学习了两个神经网络(text encoder-LSTM,image encoder -CNN),将图像的子区域和句子中的词映射到同一个语义空间来计算相似度,在训练生成器的时候就可以通过计算img-text similarity得到一个fine-grained loss The text encoder 文本编码器是一个双向LSTM网络,用来提取...
作者提出了两个模块,相似图推理(SGR: Similarity Graph Reasoning)和相似注意力过滤(SAF: Similarity Attention Filteration)。前者用于识别单词图片相似性之间的复杂关系,后者用于过滤一些非重要的单词以提高预测准确性。 两个新模块 首先,作者延续之前的文章方法(Anderson et al. 2018)使用 Faster R-CNN 在图片中提取...
which can be used for image-text similarity and for zero-shot image classification. CLIP is trained on a dataset of 400 million image-text pairs collected from a variety of publicly available sources on the internet. The model architecture consists of an ...
Similarities: a toolkit for similarity calculation and semantic search. 相似度计算、匹配搜索工具包,支持亿级数据文搜文、文搜图、图搜图,python3开发,开箱即用。 nlpsearch-enginedeep-learningmatchingpytorchsimilarityimage-searchbm25text-matchingsimilarity-searchimage-similarityfaiss ...
作者首先用 bottom-up attention 来检测和编码图像区域,提取其 feature。与此同时,也对 word 进行单词映射。然后用 Stacked Cross Attention 来推理对齐后的 image region 和 word feature 之间的 image-sentence similarity。 1.1. Stacked Cross Attention:
To find the similarity between the two images we are going to use the following approach : Read the image files as an array. Since the image files are colored there are 3 channels for RGB values. We are going to flatten them such that each image is a single 1-D array. ...
python -m clip_score path/to/image path/to/text If GPU is available, the project is set to run automatically on a GPU by default. If you want to specify a particular GPU, you can use the--device cuda:Nflag when running the script, whereNis the index of the GPU you wish to use....
五、VS相似度(Visual-Semantic Similarity) 5.1、原理 VS相似度通过一个经过训练的视觉语义嵌入模型计算图像和文本之间的距离来衡量合成图像和文本之间的对齐。具体来说,学习两个映射函数,分别将图像和文本映射到公共表示空间。然后通过下面的公式,比较其相似性: ...