no code implementations • 28 Mar 2024 • Yiyu Wang, Hao Luo, Jungang Xu, Yingfei Sun, Fan Wang
Among them, the mainstream solution is to project image embeddings into the text embedding space with the assistance of consistent representations between image-text pairs from the CLIP model.
2 code implementations • 29 Mar 2022 • Yiyu Wang, Jungang Xu, Yingfei Sun
Firstly, we adopt SwinTransformer to replace Faster R-CNN as the backbone encoder to extract grid-level features from given images; Then, referring to Transformer, we build a refining encoder and a decoder.
no code implementations • 10 Jun 2019 • Boyu Qiu, Xu Chen, Jungang Xu, Yingfei Sun
Enabling a machine to read and comprehend the natural language documents so that it can answer some questions remains an elusive challenge.
no code implementations • 9 Jun 2019 • Kun Jing, Jungang Xu
As the core component of Natural Language Processing (NLP) system, Language Model (LM) can provide word representation and probability indication of word sequences.
no code implementations • 20 May 2019 • Yiyu Wang, Jungang Xu, Yingfei Sun, Ben He
Image captioning is a challenging task and attracting more and more attention in the field of Artificial Intelligence, and which can be applied to efficient image retrieval, intelligent blind guidance and human-computer interaction, etc.
1 code implementation • EMNLP 2018 • Canjia Li, Yingfei Sun, Ben He, Le Wang, Kai Hui, Andrew Yates, Le Sun, Jungang Xu
Pseudo-relevance feedback (PRF) is commonly used to boost the performance of traditional information retrieval (IR) models by using top-ranked documents to identify and weight new query terms, thereby reducing the effect of query-document vocabulary mismatches.
Ranked #9 on Ad-Hoc Information Retrieval on TREC Robust04