Situation Recognition: Visual Semantic Role Labeling for Image Understanding;Mark Yatskar et al; Focus on image understanding. Given images, do the semantic role labeling task. No text available. A new benchmark and baseline are proposed. Commonly Uncommon: Semantic Sparsity in Situation Recognition;...
Besides, Venugopalan et al.[34] propose a end-to-end sequence-to- sequence model to generate captions for videos. There are several existing datasets for video to text. The YouTube cooking video dataset, named YouCook [5], con- 1,200 1,000 800 600 400 200 0 Figure 2. The ...
Pass the image you want to talk about through a caption generator Combine the question asked by the user and the generated caption into a prompt for an LLM using some template Pass that prompt to the LLM, which would return the final output ...
TextMonkey: An OCR-Free Large Multimodal Model for Understanding Document arXiv 2024-03-07 Github Demo The All-Seeing Project V2: Towards General Relation Comprehension of the Open World arXiv 2024-02-29 Github - GROUNDHOG: Grounding Large Language Models to Holistic Segmentation CVPR 2024-02-...
Hyperparameters and resources for model training and inference During the training of both steps, the max number of epochs was fixed to 20, the iteration of each epoch was set to 5000, the warmup step was set to 5000, the learning rate was set to 1e-4, and the max text length was ...
Besides, Venugopalan et al.[34] propose a end-to-end sequence-to- sequence model to generate captions for videos. There are several existing datasets for video to text. The YouTube cooking video dataset, named YouCook [5], con- 1,200 1,000 800 600 400 200 0 Figure 2. The ...
Facebook, Twitter, and LinkedIn are suitable places to start for most businesses. They all offer a way to share video, text, photo, and link-based posts and have large user bases. To learn more about other forms of social media,check out this post. ...
We finetune the base text-to-video model on a high-quality video dataset of ∼ 1M samples. Samples in the dataset generally contain lots of object motion, steady camera motion, and well-aligned captions, and are of high visual quality altogether. We finetune our base model for 50k iterat...
AI-Caps AI Challenger : A Large-scale Dataset for Going Deeper in Image Understanding Caption Image-Text Wukong Captions Wukong: A 100 Million Large-scale Chinese Cross-modal Pre-training Benchmark Caption Image-Text Youku-mPLUG Youku-mPLUG: A 10 Million Large-scale Chinese Video-Language Datase...
ShareGPT4V ShareGPT4V: Improving Large Multi-Modal Models with Better Captions Caption Image-Text AS-1B The All-Seeing Project: Towards Panoptic Visual Recognition and Understanding of the Open World Hybrid Image-Text InternVid InternVid: A Large-scale Video-Text Dataset for Multimodal Understanding...