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Superpixel Semantics Representation and Pre-Training for Visionlanguage Tasks

https://doi.org/10.2139/ssrn.4862102
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inferredcites →https://doi.org/10.1007/978-3-030-58577-8_7openalex-extracted
UNITER: UNiversal Image-TExt Representation Learning
inferredcites →https://doi.org/10.1007/978-3-030-58577-8_8openalex-extracted
Oscar: Object-Semantics Aligned Pre-training for Vision-Language Tasks
inferredcites →https://doi.org/10.1007/978-3-030-58601-0_2openalex-extracted
Reducing Language Biases in Visual Question Answering with Visually-Grounded Question Encoder
inferredcites →https://doi.org/10.1007/978-3-319-10602-1_48openalex-extracted
Microsoft COCO: Common Objects in Context
inferredcites →https://doi.org/10.1007/s11263-016-0981-7openalex-extracted
Visual Genome: Connecting Language and Vision Using Crowdsourced Dense Image Annotations
inferredcites →https://doi.org/10.1016/j.knosys.2021.107408openalex-extracted
KVL-BERT: Knowledge Enhanced Visual-and-Linguistic BERT for visual commonsense reasoning
inferredcites →https://doi.org/10.1016/j.knosys.2023.110364openalex-extracted
A domain adaptation approach for resume classification using graph attention networks and natural language processing
inferredcites →https://doi.org/10.1016/j.knosys.2023.110706openalex-extracted
CLVIN: Complete language-vision interaction network for visual question answering
inferredcites →https://doi.org/10.1016/j.knosys.2024.111550openalex-extracted
Multiview adaptive attention pooling for image–text retrieval
inferredcites →https://doi.org/10.1109/cvpr.2015.7298932openalex-extracted
Deep visual-semantic alignments for generating image descriptions
inferredcites →https://doi.org/10.1109/cvpr.2016.499openalex-extracted
Where to Look: Focus Regions for Visual Question Answering
inferredcites →https://doi.org/10.1109/cvpr.2018.00636openalex-extracted
Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering
inferredcites →https://doi.org/10.1109/cvpr42600.2020.01028openalex-extracted
In Defense of Grid Features for Visual Question Answering
inferredcites →https://doi.org/10.1109/cvpr42600.2020.01045openalex-extracted
12-in-1: Multi-Task Vision and Language Representation Learning
inferredcites →https://doi.org/10.1109/cvpr42600.2020.01398openalex-extracted
Superpixel Segmentation With Fully Convolutional Networks
inferredcites →https://doi.org/10.1109/cvpr46437.2021.00553openalex-extracted
VinVL: Revisiting Visual Representations in Vision-Language Models
inferredcites →https://doi.org/10.1109/cvpr46437.2021.01278openalex-extracted
Seeing Out of tHe bOx: End-to-End Pre-training for Vision-Language Representation Learning
inferredcites →https://doi.org/10.1109/cvpr52688.2022.00512openalex-extracted
ViSTA: Vision and Scene Text Aggregation for Cross-Modal Retrieval
inferredcites →https://doi.org/10.1109/cvpr52688.2022.01069openalex-extracted
Grounded Language-Image Pre-training
inferredcites →https://doi.org/10.1109/cvpr52688.2022.01763openalex-extracted
An Empirical Study of Training End-to-End Vision-and-Language Transformers
inferredcites →https://doi.org/10.1109/cvpr52729.2023.02226openalex-extracted
Position-Guided Text Prompt for Vision-Language Pre-Training
inferredcites →https://doi.org/10.1109/iccv.2015.303openalex-extracted
Flickr30k Entities: Collecting Region-to-Phrase Correspondences for Richer Image-to-Sentence Models
inferredcites →https://doi.org/10.1109/iccv.2019.00271openalex-extracted
Hierarchy Parsing for Image Captioning
inferredcites →https://doi.org/10.1109/iccv48922.2021.00161openalex-extracted
Greedy Gradient Ensemble for Robust Visual Question Answering
inferredcites →https://doi.org/10.1109/iccv48922.2021.00180openalex-extracted
MDETR - Modulated Detection for End-to-End Multi-Modal Understanding
inferredcites →https://doi.org/10.1109/iccv48922.2021.00208openalex-extracted
TRAR: Routing the Attention Spans in Transformer for Visual Question Answering
inferredcites →https://doi.org/10.1109/iccvw54120.2021.00345openalex-extracted
Visual Reasoning using Graph Convolutional Networks for Predicting Pedestrian Crossing Intention
inferredcites →https://doi.org/10.1109/tai.2022.3160418openalex-extracted
Dual Attention and Question Categorization-Based Visual Question Answering
inferredcites →https://doi.org/10.1109/tcsvt.2020.3019109openalex-extracted
Fuzzy SLIC: Fuzzy Simple Linear Iterative Clustering
inferredcites →https://doi.org/10.1109/tip.2021.3097180openalex-extracted
Re-Attention for Visual Question Answering
inferredcites →https://doi.org/10.1109/tmm.2022.3222118openalex-extracted
AlignVE: Visual Entailment Recognition Based on Alignment Relations
inferredcites →https://doi.org/10.1109/tnnls.2020.2986029openalex-extracted
Radial Graph Convolutional Network for Visual Question Generation
inferredcites →https://doi.org/10.1109/tnnls.2021.3104937openalex-extracted
Bilinear Graph Networks for Visual Question Answering
inferredcites →https://doi.org/10.1109/tnnls.2021.3105284openalex-extracted
Multitask Learning for Visual Question Answering
inferredcites →https://doi.org/10.1145/3343031.3350925openalex-extracted
CRA-Net
inferredcites →https://doi.org/10.1609/aaai.v32i1.12328openalex-extracted
Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition
inferredcites →https://doi.org/10.1609/aaai.v34i07.6776openalex-extracted
Overcoming Language Priors in VQA via Decomposed Linguistic Representations
inferredcites →https://doi.org/10.18653/v1/2020.emnlp-main.707openalex-extracted
X-LXMERT: Paint, Caption and Answer Questions with Multi-Modal Transformers
inferredcites →https://doi.org/10.18653/v1/2022.emnlp-main.488openalex-extracted
mPLUG: Effective and Efficient Vision-Language Learning by Cross-modal Skip-connections
inferredcites →https://doi.org/10.18653/v1/d19-1418openalex-extracted
Don’t Take the Easy Way Out: Ensemble Based Methods for Avoiding Known Dataset Biases
inferredcites →https://doi.org/10.18653/v1/d19-1514openalex-extracted
LXMERT: Learning Cross-Modality Encoder Representations from Transformers
inferredcites →https://doi.org/10.21203/rs.3.rs-3015858/v1openalex-extracted
Visual Question Answering: A Survey on Techniques and Common Trends in Recent Literature
inferredcites →https://doi.org/10.48550/arxiv.1905.09998openalex-extracted
Self-Critical Reasoning for Robust Visual Question Answering
inferredcites →https://doi.org/10.48550/arxiv.1907.03950openalex-extracted
Learning by Abstraction: The Neural State Machine
inferredcites →https://doi.org/10.48550/arxiv.1908.02265openalex-extracted
ViLBERT: Pretraining Task-Agnostic Visiolinguistic Representations for Vision-and-Language Tasks
inferredcites →https://doi.org/10.48550/arxiv.1908.07490openalex-extracted
LXMERT: Learning Cross-Modality Encoder Representations from Transformers
inferredcites →https://doi.org/10.48550/arxiv.1909.03683openalex-extracted
Don't Take the Easy Way Out: Ensemble Based Methods for Avoiding Known Dataset Biases
inferredcites →https://doi.org/10.48550/arxiv.2004.00849openalex-extracted
Pixel-BERT: Aligning Image Pixels with Text by Deep Multi-Modal Transformers
inferredcites →https://doi.org/10.48550/arxiv.2004.06165openalex-extracted
inferredcites →https://doi.org/10.48550/arxiv.2006.06195openalex-extracted
Large-Scale Adversarial Training for Vision-and-Language Representation Learning
inferredcites →https://doi.org/10.48550/arxiv.2010.11929openalex-extracted
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
inferredcites →https://doi.org/10.48550/arxiv.2102.02779openalex-extracted
Unifying Vision-and-Language Tasks via Text Generation
inferredcites →https://doi.org/10.48550/arxiv.2102.03334openalex-extracted
ViLT: Vision-and-Language Transformer Without Convolution or Region Supervision
inferredcites →https://doi.org/10.48550/arxiv.2102.05918openalex-extracted
Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision
inferredcites →https://doi.org/10.48550/arxiv.2107.07651openalex-extracted
Align before Fuse: Vision and Language Representation Learning with Momentum Distillation
inferredcites →https://doi.org/10.48550/arxiv.2108.10904openalex-extracted
SimVLM: Simple Visual Language Model Pretraining with Weak Supervision
inferredcites →https://doi.org/10.48550/arxiv.2111.08276openalex-extracted
Multi-Grained Vision Language Pre-Training: Aligning Texts with Visual Concepts
inferredcites →https://doi.org/10.48550/arxiv.2201.12086openalex-extracted
BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation
inferredcites →https://doi.org/10.48550/arxiv.2202.03052openalex-extracted
OFA: Unifying Architectures, Tasks, and Modalities Through a Simple Sequence-to-Sequence Learning Framework
inferredcites →https://doi.org/10.48550/arxiv.2205.12005openalex-extracted
mPLUG: Effective and Efficient Vision-Language Learning by Cross-modal Skip-connections
inferredcites →https://doi.org/10.48550/arxiv.2208.02532openalex-extracted
Prompt Tuning for Generative Multimodal Pretrained Models
inferredcites →https://doi.org/10.4230/oasics.ldk.2021.36openalex-snapshot
A Data Augmentation Approach for Sign-Language-To-Text Translation In-The-Wild
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