Pinned Repositories
CLIP_prefix_caption
Simple image captioning model
copyisallyouneed
Code for our ACL2021 paper Neural Machine Translation with Monolingual Translation Memory
DDCap
ExpansionNet_v2
Implementation code of the work "ExpansionNet v2: Block Static Expansion in fast end to end training for Image Captioning"
grit
GRIT: Faster and Better Image-captioning Transformer (ECCV 2022)
HHHH17
Config files for my GitHub profile.
kg-2019
2019年百度的三元组抽取比赛，“科学空间队”源码
PureT
Implementation of 'End-to-End Transformer Based Model for Image Captioning' [AAAI 2022]
smallcap
SmallCap: Lightweight Image Captioning Prompted with Retrieval Augmentation
Xmodal-Ctx
Official PyTorch implementation of our CVPR 2022 paper: Beyond a Pre-Trained Object Detector: Cross-Modal Textual and Visual Context for Image Captioning
HHHH17's Repositories
HHHH17/CLIP_prefix_caption
Simple image captioning model
HHHH17/copyisallyouneed
Code for our ACL2021 paper Neural Machine Translation with Monolingual Translation Memory
HHHH17/DDCap
HHHH17/ExpansionNet_v2
Implementation code of the work "ExpansionNet v2: Block Static Expansion in fast end to end training for Image Captioning"
HHHH17/grit
GRIT: Faster and Better Image-captioning Transformer (ECCV 2022)
HHHH17/HHHH17
Config files for my GitHub profile.
HHHH17/kg-2019
2019年百度的三元组抽取比赛，“科学空间队”源码
HHHH17/PureT
Implementation of 'End-to-End Transformer Based Model for Image Captioning' [AAAI 2022]
HHHH17/smallcap
SmallCap: Lightweight Image Captioning Prompted with Retrieval Augmentation
HHHH17/Xmodal-Ctx
Official PyTorch implementation of our CVPR 2022 paper: Beyond a Pre-Trained Object Detector: Cross-Modal Textual and Visual Context for Image Captioning
HHHH17/xmodaler
X-modaler is a versatile and high-performance codebase for cross-modal analytics(e.g., image captioning, video captioning, vision-language pre-training, visual question answering, visual commonsense reasoning, and cross-modal retrieval).