Meshed-Memory Transformer for Image Captioning. CVPR 2020
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Updated
Dec 21, 2022 - Python
Meshed-Memory Transformer for Image Captioning. CVPR 2020
A neural network to generate captions for an image using CNN and RNN with BEAM Search.
Show, Control and Tell: A Framework for Generating Controllable and Grounded Captions. CVPR 2019
CVPR 2018 - Regularizing RNNs for Caption Generation by Reconstructing The Past with The Present
Implemented 3 different architectures to tackle the Image Caption problem, i.e, Merged Encoder-Decoder - Bahdanau Attention - Transformers
[CVPR 2021] Scan2Cap: Context-aware Dense Captioning in RGB-D Scans
PyTorch library for Visual-Semantic tasks
Deep CNN-LSTM for Generating Image Descriptions 😈
Aid for blinds. This AI will describe the surrounding, it will tell who is in front of him (if that person is a known person to AI using Facial Recognition) and it will also help him to know what is written (Optical Character Recognition)
Computer Vision: Generate captions that describe the contents of images using PyTorch
To ease the driver to identify the Traffic Signs and also for the efficient working of Self-Driving Cars.
[ECCV2022] D3Net: A Unified Speaker-Listener Architecture for 3D Dense Captioning and Visual Grounding
[IJCAI 2022] Spatiality-guided Transformer for 3D Dense Captioning on Point Clouds (official pytorch implementation)
[CVPR 2023] Vote2Cap-DETR and [T-PAMI 2024] Vote2Cap-DETR++; A set-to-set perspective towards 3D Dense Captioning; State-of-the-Art 3D Dense Captioning methods
A deep learning model that generates descriptions of an image.
BLIP image caption demo - medium post blog
This repository contains code and results for the Course Project by Deep Learning Spring 2020 course offered at Information Technology University, Lahore, Pakistan. This repository is only for learning purposes and is not intended to be used for commercial purposes.
Generate caption on images using CNN Encoder- LSTM Decoder structure
A deep learning based image caption generator.
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