researcher2003pro Goto Github PK

ai-deadlines

:alarm_clock: AI conference deadline countdowns

attention-on-attention-for-vqa

Visual Question Answering Project with state of the art single Model performance.

awesome

:sunglasses: Curated list of awesome lists

awesome-adversarial-machine-learning

A curated list of awesome adversarial machine learning resources

awesome-rl

Reinforcement learning resources curated

awesome-vqa

Visual Q&A reading list

ban-vqa

Bilinear attention networks for visual question answering

bottom-up-attention

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

cvpr2015

dense-coattention-network

Improved Fusion of Visual and Language Representations by Dense Symmetric Co-Attention for Visual Question Answering

dual-mfa-vqa

Co-attending Regions and Detections with Multi-modal Multiplicative Embedding for VQA.

fcis

Fully Convolutional Instance-aware Semantic Segmentation

handong1587.github.io

mask_rcnn

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

mullowbivqa

Hadamard Product for Low-rank Bilinear Pooling

neural-vqa-attention

:question: Attention-based Visual Question Answering in Torch

pixyll

A simple, beautiful Jekyll theme that's mobile first

prml

PRML algorithms implemented in Python

promptpapers

Must-read papers on prompt-based tuning for pre-trained language models.

show-attend-and-tell

TensorFlow Implementation of "Show, Attend and Tell"

stanford-cs-229-cn

A Chinese Translation of Stanford CS229 notes 斯坦福机器学习CS229课程讲义的中文翻译

taadpapers

Must-read Papers on Textual Adversarial Attack and Defense

video-understanding-dataset

A collection of recent video understanding datasets, under construction!

vqa

vqa-counting

[ICLR 2018] Learning to Count Objects in Natural Images for Visual Question Answering

vqa-mfb

vqa-mfb.pytorch

vqa.pytorch

Visual Question Answering in Pytorch

vqg-tensorflow

Visual Question Generation in Tensorflow

vqs

VQS: Linking Segmentations to Questions and Answers for Supervised Attention in VQA and Question-Focused Semantic Segmentation