machine-learningdeep-neural-networkstransformerganyoloobject-detectionlstm-neural-networksbidirectional-lstmtime-series-analysisimagecaptioningcnn-classificationragpytorch-implementationdiffusion-modelsdcgan-pytorchpytorch-lightningwgan-gp-pytorchpytorch-lightning-tutorialchatgptollama ...
In this work, an image captioning method is proposed that uses discrete wavelet decomposition along with convolutional neural network (WCNN) for extracting the spectral information in addition to the spatial and semantic features of the image. An attempt is made to enhance the visual modelling of ...
Image Captioner Using CLIPxGPT is Image Captioning Model based on OpenAI's CLIP and GPT-2. The Model uses a Mapping module to "translate" CLIP embeddings to GPT-2. The model is trained on the Flickr30k dataset, downloaded from Kaggle The goal of the project was to find out about...
We propose CoCa, a unified training framework that combines contrastive loss and captioning loss on a single training data stream consisting of image annotations and noisy image-text pairs, effectively merging single-encoder, dual-encoder and encoder-decoder paradigms. To this end, we present a nove...
#single image, captioningAZFUSE_TSV_USE_FUSE=1 python -m generativeimage2text.inference -p"{'type': 'test_git_inference_single_image',\'image_path': 'aux_data/images/1.jpg',\'model_name': 'GIT_BASE',\'prefix': '',\}"#single image, question answeringAZFUSE_TSV_USE_FUSE=1 pytho...
# single image, captioning AZFUSE_TSV_USE_FUSE=1 python -m generativeimage2text.inference -p "{'type': 'test_git_inference_single_image', \ 'image_path': 'aux_data/images/1.jpg', \ 'model_name': 'GIT_BASE', \ 'prefix': '', \ }" # single image, question answering AZFUSE_...
Explore and run machine learning code with Kaggle Notebooks | Using data from No attached data sources
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Explore and run machine learning code with Kaggle Notebooks | Using data from COCO Image Captioning Dataset
Something went wrong and this page crashed! If the issue persists, it's likely a problem on our side. Unexpected end of JSON input SyntaxError: Unexpected end of JSON input