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 caption...
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...
(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 ...
on image captioning, such asVLPandOSCAR. However, these prior works rely on large amounts of image-sentence pairs for pretraining. When it comes to the nocaps challenge, where no additional paired image-sentence training data is allowed, none of the prior VLP techniques are readily appl...
One suite of parameterspretrained for Semantic/Instance/Panoptic Segmentation, Referring Segmentation, Image Captioning, and Image-Text Retrieval; One model architecturefinetuned for Semantic/Instance/Panoptic Segmentation, Referring Segmentation, Image Captioning, Image-Text Retrieval and Visual Question Answeri...
While great progress has been made oncoarse-grained (image-level)recognition such asCLIP(opens in new tab), generalizablefine-grained (object-level) localization ability (e.g., object detection) remains an open challenge. Existing detection and segmentation models...
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In this challenge, no additional image-caption training data, other than COCO Captions, is allowed for model training. Thus, conventional Vision-Language Pre-training (VLP) methods cannot be applied. This paper presents VIsual VOcabulary pretraining (VIVO)...
Their work was inspired by Microsoft Research’sCOCO(opens in new tab)(Common Objects in Context). COCO is a new image recognition, segmentation, and captioning dataset that recognizes more than 300,000 images, in context, and because videos are essentially a su...