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Found 7 papers, 6 papers with code
LaDiC: Are Diffusion Models Really Inferior to Autoregressive Counterparts for Image-to-Text Generation?
Diffusion models have exhibited remarkable capabilities in text-to-image generation.
TimeChat: A Time-sensitive Multimodal Large Language Model for Long Video Understanding
This work proposes TimeChat, a time-sensitive multimodal large language model specifically designed for long video understanding.
Rethinking Benchmarks for Cross-modal Image-text Retrieval
The reason is that a large amount of images and texts in the benchmarks are coarse-grained.
CapEnrich: Enriching Caption Semantics for Web Images via Cross-modal Pre-trained Knowledge
Automatically generating textual descriptions for massive unlabeled images on the web can greatly benefit realistic web applications, e. g. multimodal retrieval and recommendation.
Image Difference Captioning with Pre-training and Contrastive Learning
The Image Difference Captioning (IDC) task aims to describe the visual differences between two similar images with natural language.
YouMakeup VQA Challenge: Towards Fine-grained Action Understanding in Domain-Specific Videos
The goal of the YouMakeup VQA Challenge 2020 is to provide a common benchmark for fine-grained action understanding in domain-specific videos e. g. makeup instructional videos.
