Microsoft and Google’s research groupstied for first placein the recentMS COCO Image Captioning Challenge 2015. The winners were decided based on two main metrics: The share of captions that were equal to or better than a caption written by a person, and the share of captions...
Microsoft COCO is a new image recognition, segmentation, and captioning dataset that is designed to recognize multiple objects and sections of an image while distinguishing their unique context. The dataset can create five separate descriptions of the image which has several uses, though the most obv...
deep-learning pytorch image-captioning attention-model microsoft-coco Updated Jan 3, 2019 Jupyter Notebook SpongeBab / COCO_only_person Star 12 Code Issues Pull requests Use the python script to select images contains person in the COCO。 computer-vision dataset coco object-detection cocodatas...
To this end, we show that our proposed distillation significantly improves the performance of small VL models on image captioning and visual question answering tasks. It reaches 120.8 in CIDEr score on COCO captioning, an improvement of 5.1 over its non-distilled counterpart; and...
(based on Faster R-CNN) proposes image regions, each with an associated feature vector, while the top-down mechanism determines feature weightings. Applying this approach to image captioning, our results on the MSCOCO test server establish a new state-of-the-art for the ...
The latest competition to create the most informative and accurate captions, the MS COCO Captioning Challenge 2015, ends this Friday.Throughout the competition, a leaderboard has been tracking how well the teams are doing using various technical measurements, and ranking them based on who is ...
The challenge of emotion-aware image commentingCaption generation is a core element of the AI image(video)-to-text domain. Much of the research in this field has focused on enabling machines to detect and characterize objects in images. Existing deep learning-based image captioning methods extract...
1 MicrosoftCOCOCaptions:DataCollectionand EvaluationServer XinleiChen,HaoFang,Tsung-YiLin,RamakrishnaVedantam SaurabhGupta,PiotrDoll´ar,C.LawrenceZitnick Abstract—InthispaperwedescribetheMicrosoftCOCOCaptiondatasetandevaluationserver.Whencompleted,thedatasetwill containoveroneandahalfmillioncaptionsdescribingover330...
Search or jump to... Search code, repositories, users, issues, pull requests... Provide feedback We read every piece of feedback, and take your input very seriously. Include my email address so I can be contacted Cancel Submit feedback Saved searches Use saved searches to filter your...
Microsoft COCO is a new image recognition, segmentation, and captioning dataset that is designed to recognize multiple objects and sections of an image while distinguishing their unique context. The dataset can create five separate descriptions of the image which has several uses, though the most obv...