xianglinbuaa Goto Github PK

bottom-up-attention

Bottom-up attention model for image captioning and VQA, based on Faster R-CNN and Visual Genome

clip

CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

coco-caption

faster_rcnn

Faster R-CNN

grad-cam

[ICCV 2017] Torch code for Grad-CAM

leetcode

LeetCode Solutions: A Record of My Problem Solving Journey.( leetcode题解，记录自己的leetcode解题之路。)

leetcode-1

Provide all my solutions and explanations in Chinese for all the Leetcode coding problems.

mia

Code for "Aligning Visual Regions and Textual Concepts for Semantic-Grounded Image Representations" （NeurIPS 2019）

models

Models built with TensorFlow

multimodal-prompt-learning

[CVPR 2023] Official repository of paper titled "MaPLe: Multi-modal Prompt Learning".

nlp-tutorial

Natural Language Processing Tutorial for Deep Learning Researchers

object_relation_transformer

Implementation of the Object Relation Transformer for Image Captioning

ofa

Official repository of OFA (ICML 2022). Paper: OFA: Unifying Architectures, Tasks, and Modalities Through a Simple Sequence-to-Sequence Learning Framework

oscar

Oscar and VinVL

py-bottom-up-attention

PyTorch bottom-up attention with Detectron2

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

pytorch-distributed

A quickstart and benchmark for pytorch distributed training.

pytorch-faster-rcnn

pytorch1.0 updated. Support cpu test and demo. (Use detectron2, it's a masterpiece)

scene-graph-tf-release

"Scene Graph Generation by Iterative Message Passing" code repository

semi-supervised-image-captioning

Code for "bootstrap, review, decode: using out-of-domain textual data to improve image captioning"

sgae

unsupervised_captioning

Code for Unsupervised Image Captioning

up-down-captioner

Automatic image captioning model based on Caffe, using features from bottom-up attention.