[PDF] Top 20 Language Models for Image Captioning: The Quirks and What Works

... automatic image captioning has shown that an image-conditioned language model can be very effective at generating ...entropy language model (ME LM) is used to generate a sentence that ... See full document

... recent works focus on the deep network based and end-to-end method- s mainly under the encoder-decoder ...These models are usually trained to maximize the likelihood of next ground-truth word giv- en the ... See full document

... topic models to learn the semantic correspondence between images and labels ...natural language descriptions is considerably more diffi- cult because of polysemy, hypernymy, and mis- alginment between the ... See full document

... contemporary image captioning models are prone to “hallucinating” objects that are not actually in a ...new image relevance metric to evaluate current models with veridical visual ... See full document

... adversarial image on Show-Attend- and-Tell (shown under column tgt in Table ...two models is mostly bounded by the intrinsic model mismatch rather than the transfer- ability of adversarial perturbations, ... See full document

... of image recognition as well as object ...these works has been to describe a compound multiplex visual scenario in a single line ...These models can therefore be of immense significance in describing ... See full document

... to language models. By varying image representation quality produced by a convolutional neu- ral network, we find that a state-of-the- art neural captioning algorithm is able to produce ... See full document

... human language that is essential for making generalizations from limited data (Montague, 1974; Partee, 1984; Lake et ...to what extent image captioning models are capable of ... See full document

... in image captioning (Rennie et ...training captioning models. Generally, peo- ple pretrain the captioning model using MLE, and continue training model with ...Many works (Dai et ... See full document

... neural image captioner to refer to a target ...with language models: as utterances become longer, it becomes exponentially slower, for a fixed n, to subsample n% of the utterance distribution and ... See full document

... Image captioning and visual language grounding are two im- portant tasks for image understanding, but are seldom con- sidered ...generates image captions and predicts bounding boxes for ... See full document

... for image captioning models [Tran et ...our image captioning model to make use of additional informa- tion sources, such as images tagged with keywords, when generating ... See full document

... adversarial-nets-based image captioning framework as an extension of traditional reinforcement-learning (RL)-based encoder-decoder ...objective language met- rics, we are motivated to design some ... See full document

... Comparison with the state-of-the-art methods For offline evaluation on MSCOCO dataset, we compare our model with the current state-of-the-art methods: Adaptive (Lu et al. 2017), Att2in (Rennie et al. 2017), Updown (An- ... See full document

... such models are trained usually have caption cap- turing only a limited coverage of the en- tities present in the image (or its meta- ...the models and inher- ently limits the amount of information ... See full document

... And, finally, we report the evidence rating as described above. It is important to distinguish between the level of the evidence and whether an intervention can be said to work or not. These are not necessarily the same ... See full document

... Researchers have used efficacy experiment design to examine the Hanen Program for Parents. The parent-child interaction pattern promoted by the Hanen program has been demonstrated positive or no less effective than ... See full document

... previous works that constructs a idea in ranking of actions for natural language sentence of human activities in ...its language model to generate sentence based on SVO ... See full document

... Deja Image- Captions, with several unique properties to comple- ment datasets with crowdsourced ...new image captioning algorithms using the associative structure, which we extended to several ... See full document

... We did not find any programs that were effective in improving body image for both girls and boys. Some of the programs that targeted boys (Stanford & McCabe, 2005) or girls (Richardson et al., 2010) on their ... See full document