A comprehensive survey of deep learning for image captioning
Generating a description of an image is called image captioning. Image captioning requires
recognizing the important objects, their attributes, and their relationships in an image. It also …
recognizing the important objects, their attributes, and their relationships in an image. It also …
Comparing deep learning models for low-light natural scene image enhancement and their impact on object detection and classification: Overview, empirical …
R Al Sobbahi, J Tekli - Signal Processing: Image Communication, 2022 - Elsevier
Low-light image (LLI) enhancement is an important image processing task that aims at
improving the illumination of images taken under low-light conditions. Recently, a …
improving the illumination of images taken under low-light conditions. Recently, a …
Gres: Generalized referring expression segmentation
Abstract Referring Expression Segmentation (RES) aims to generate a segmentation mask
for the object described by a given language expression. Existing classic RES datasets and …
for the object described by a given language expression. Existing classic RES datasets and …
What Matters in Training a GPT4-Style Language Model with Multimodal Inputs?
Recent advancements in GPT-4V have displayed remarkable multi-modal capabilities in
processing image inputs and following open-ended instructions. Despite these …
processing image inputs and following open-ended instructions. Despite these …
Attention guided low-light image enhancement with a large scale low-light simulation dataset
Low-light image enhancement is challenging in that it needs to consider not only brightness
recovery but also complex issues like color distortion and noise, which usually hide in the …
recovery but also complex issues like color distortion and noise, which usually hide in the …
Multimodal compact bilinear pooling for visual question answering and visual grounding
Modeling textual or visual information with vector representations trained from large
language or visual datasets has been successfully explored in recent years. However, tasks …
language or visual datasets has been successfully explored in recent years. However, tasks …
Flickr30k entities: Collecting region-to-phrase correspondences for richer image-to-sentence models
The Flickr30k dataset has become a standard benchmark for sentence-based image
description. This paper presents Flickr30k Entities, which augments the 158k captions from …
description. This paper presents Flickr30k Entities, which augments the 158k captions from …
Multi30k: Multilingual english-german image descriptions
We introduce the Multi30K dataset to stimulate multilingual multimodal research. Recent
advances in image description have been demonstrated on English-language datasets …
advances in image description have been demonstrated on English-language datasets …
Deep captioning with multimodal recurrent neural networks (m-rnn)
In this paper, we present a multimodal Recurrent Neural Network (m-RNN) model for
generating novel image captions. It directly models the probability distribution of generating …
generating novel image captions. It directly models the probability distribution of generating …
[PDF][PDF] Referitgame: Referring to objects in photographs of natural scenes
S Kazemzadeh, V Ordonez, M Matten… - Proceedings of the 2014 …, 2014 - aclanthology.org
In this paper we introduce a new game to crowd-source natural language referring
expressions. By designing a two player game, we can both collect and verify referring …
expressions. By designing a two player game, we can both collect and verify referring …