Topic: flickr8k Goto Github
Some thing interesting about flickr8k
Some thing interesting about flickr8k
flickr8k,Download flickr8k, flickr30k image caption datasets
User: awsaf49
flickr8k,Exercise on captioning images in the Neural Networks for Computer Vision course. Using the Flickr8K dataset, and simple encoder-decoder architecture. Evaluation based on Cross-Entropy loss and 4-gram Bleu score.
User: guykabiri
flickr8k,The objective is to process by generating textual description from an image – based on the objects and actions in the image. Using generative models so that it creates novel sentences. Pipeline type models uses two separate learning process, one for language modelling and other for image recognition. It first identifies objects in image and provides the result to the Inception-v3 model to convert into word embedding vector than into series of LSTM cells to get desired captions.
User: kakshak07
flickr8k,PyTorch implementation of 'CLIP' (Radford et al., 2021) from scratch and training it on Flickr8k + Flickr30k
User: kimrass
flickr8k,Image Captioning using Encoder Decoder network , Pretrained models given
User: roysti10
flickr8k,Library for training visually-grounded models of spoken language understanding.
Organization: spokenlanguage
flickr8k,An attention based sequential deep learning model implemented in pytorch to generate single line caption given an input image
User: subangkar
flickr8k,Deep Learning Final project 2022
User: tojiboyevf
flickr8k,Image Captioning is a task where each image must be understood properly and are able generate suitable caption with proper grammatical structure. Here it is a hybrid system which uses multilayer CNN (Convolutional Neural Network) for generating keywords.
User: varshithhowdekar03
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