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awesome-diverse-captioning
Some papers about *diverse* image (a few videos) captioning
https://github.com/RyanLiut/awesome-diverse-captioning
Last synced: 1 day ago
JSON representation
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2020
- [pytorch-code
- [pytorch-code - Review.html)]
- [code
- Latent Normalizing Flows for Many-to-Many Cross Domain Mappings
- Diverse Image Captioning with Context-Object Split Latent Spaces
- On Diversity in Image Captioning: Metrics and Methods
- Better Captioning with Sequence-Level Exploration
- [video
- Improving Image Captioning Evaluation by Considering Inter References Variance
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2019
- [pytorch-code
- [pytorch-code
- [unfinishe-code
- Show, Control and Tell: A Framework for Generating Controllable and Grounded Captions
- Fast, Diverse and Accurate Image Captioning Guided by Part-Of-Speech
- Controllable Video Captioning With POS Sequence Guidance Based on Gated Fusion Network
- Show, Control and Tell: A Framework for Generating Controllable and Grounded Captions
- Intention Oriented Image Captions with Guiding Objects
- Towards Diverse and Accurate Image Captions via Reinforcing Determinantal Point Process
- Curiosity-driven Reinforcement Learning for Diverse Visual Paragraph Generation
- Engaging Image Captioning via Personality
- [Openreview for ICLR 19
- Sequential Latent Spaces for Modeling the Intention During Diverse Image Captioning
- Describing Like Humans: On Diversity in Image Captioning
- MSCap: Multi-Style Image Captioning With Unpaired Stylized Text
- Variational Structured Semantic Inference for Diverse Image Captioning
- [pytorch-code
- Curiosity-driven Reinforcement Learning for Diverse Visual Paragraph Generation
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2018
-
2016
-
2015
- Deep Captioning with Multimodal Recurrent Neural Networks (m-RNN)
- [code:TF-mRNN - CR](https://github.com/mjhucla/mRNN-CR)]
- Deep Captioning with Multimodal Recurrent Neural Networks (m-RNN)
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2022
- Hierarchical Sketch Induction for Paraphrase Generation
- [partial code
- CTRLEval: An Unsupervised Reference-Free Metric for Evaluating Controlled Text Generation
- Show, Tell and Rephrase: Diverse Video Captioning via Two-Stage Progressive Training
- Generating Scientific Definitions with Controllable Complexity
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2021
- Human-Like Controllable Image Captioning With Verb-Specific Semantic Roles
- Towards Accurate Text-Based Image Captioning With Content Diversity Exploration
- Open-Book Video Captioning With Retrieve-Copy-Generate Network
- Question-controlled Text-aware Image Captioning
- O2NA: An Object-Oriented Non-Autoregressive Approach for Controllable Video Captioning (Short)
- Control Image Captioning Spatially and Temporally
- Understanding Guided Image Captioning Performance across Domains
- Partial Off-Policy Learning: Balance Accuracy and Diversity for Human-Oriented Image Captioning
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2017
- Speaking the Same Language: Matching Machine to Human Captions by Adversarial Training
- Towards Diverse and Natural Image Descriptions via a Conditional GAN
- [video
- Diverse and Accurate Image Description Using a Variational Auto-Encoder with an Additive Gaussian Encoding Space
- [Review
- Weakly Supervised Dense Video Captioning
- From Deterministic to Generative: Multimodal Stochastic RNNs for Video Captioning
Programming Languages
Sub Categories
Keywords
image-captioning
2
conditional-vae
1
generative-models
1
image-to-text
1
latent-variable-models
1
multimodal-deep-learning
1
normalizing-flows
1
text-to-image
1
vision-and-language
1
caption-generation
1
captioning-images
1
cvpr2019
1
pytorch
1
visual-semantic
1
compositionality
1
neurips-2018
1
nlp
1
artificial-intelligence
1
beam-search
1
deep-learning
1
neural-network
1
neuraltalk
1