Please enable JavaScript.

Coggle requires JavaScript to display documents.

Image Caption Generation (Neural Networks for Image Caption Generation…

- - - - Every Picture Tells a Story: Generating Sentences from Images (2010) ECCV
  - - - Baby Talk: Understanding and Generating Simple Image Descriptions (2013) PAMI
  - - - A Sentence is Worth a Thousand Pixels (2013) CVPR
      - Towards Diverse and Natural Image Descriptions via a Conditional GAN (2017) arXiv
    - - Generating Multi-sentence Natural Language Descriptions of Indoor Scenes (2015) BMVC
- - - - Mnih
        
        Recurrent Models of Visual Attention
        (2014) NIPS
    - - DeViSE: A Deep Visual-Semantic Embedding Model (2013) NIPS
    - - Show and Tell: A Neural Image Caption Generator (2014) arXiv
    - - Large scale image annotation: learning to rank with joint word-image embeddings (2010) ML
  - - - Explain Images with Multimodal Recurrent Neural Networks (2014) arXiv
      - Deep Captioning with Multimodal Recurrent Neural Networks (m-RNN) (2015) ICLR
  - - - Mind’s Eye: A Recurrent Visual Representation for Image Caption Generation (2015) CVPR
      - Show, Adapt and Tell: Adversarial Training of Cross-domain Image Captioner (2017) arXiv Link Title
  - - - Multimodal Neural Language Models (2014) ICML
      - Unifying Visual-Semantic Embeddings with Multimodal Neural Language Models (2014) arXiv
    - - Multiple Object Recognition with Visual Attention (2014) arXiv
  - - - Deep Fragment Embeddings for Bidirectional Image Sentence Mapping (2014) NIPS
      - Deep Visual-Semantic Alignments for Generating Image Descriptions (2015) CVPR
    - - Grounded Compositional Semantics for Finding and Describing Images with Sentences (2014) TRANSACL
    - - Generate Image Descriptions based on Deep RNN and Memory Cells for Images Features (2016) arXiv
  - - - Neural Machine Translation by Jointly Learning to Align and Translate (2015) ICLR
    - - Show, Attend and Tell: Neural Image Caption Generation with Visual Attention (2016)
        arXiv
  - - - Image Captioning with Semantic Attention (2016) arXiv
- - - - Very deep convolutional networks for large-scale image recognition (2014) arXiv
  - - - ImageNet Classification with Deep Convolutional Neural Networks
        (2012) NIPS
- - - - Interleaved Text/Image Deep Mining on a Large-Scale Radiology Database for Automated Image Interpretation (2016) JMLR
      - Learning to Read Chest X-Rays: Recurrent Neural Cascade Model for Automated Image Annotation (2016) arXiv
      - Disease Localisation
        
        Wang
        
        ChestX-ray8: Hospital-scale Chest X-ray Database and Benchmarks on Weakly-Supervised Classification and Localization of Common Thorax Diseases (2017) arXiv
  - - - Predicting Semantic Descriptions from Medical Images with Convolutional Neural Networks (2015) IPMI