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gyq716's Projects

.tmux icon .tmux

🇫🇷 Oh My Tmux! Pretty & versatile tmux configuration made with ❤️

albef icon albef

Code for ALBEF: a new vision-language pre-training method

aoanet icon aoanet

Code for paper "Attention on Attention for Image Captioning". ICCV 2019

asg2cap icon asg2cap

Code accompanying the paper "Say As You Wish: Fine-grained Control of Image Caption Generation with Abstract Scene Graphs" (Chen et al., CVPR 2020, Oral).

cada-vae-pytorch icon cada-vae-pytorch

Pytorch implementation of the paper "Generalized Zero- and Few-Shot Learning via Aligned Variational Autoencoders" (CVPR 2019)

catr icon catr

Image Captioning Using Transformer

cider icon cider

python codes for CIDEr - Consensus-based Image Caption Evaluation

clip icon clip

Contrastive Language-Image Pretraining

clip4clip icon clip4clip

An official implementation for "CLIP4Clip: An Empirical Study of CLIP for End to End Video Clip Retrieval"

coot-videotext icon coot-videotext

COOT: Cooperative Hierarchical Transformer for Video-Text Representation Learning

cos-cvae icon cos-cvae

Diverse Image Captioning with Context-Object Split Latent Spaces (NeurIPS 2020)

deeplearning-500-questions icon deeplearning-500-questions

深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为18个章节,50余万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系[email protected] 版权所有,违权必究 Tan 2018.06

deit icon deit

Official DeiT repository

detectron2 icon detectron2

Detectron2 is FAIR's next-generation platform for object detection and segmentation.

detr icon detr

End-to-End Object Detection with Transformers

dive-into-dl-pytorch icon dive-into-dl-pytorch

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。

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