For storing the complete exploration of Visual Question Answering for our B.Tech Project

Last update: Jun 16, 2022

Overview

Multi-Image vqa

@authors: Akhilesh, Janhavi, Harsh

Paper summary, Ideas tried and their corresponding results: on wiki
Other discussions: on discussions
Checkout to new branch to push codes relevant to different experiments.

Report here

Owner

Harsh Raj

Coding Enthusiast | Python | Sql

GitHub Repository

This repository contains part of the code used to make the images visible in the article "How does an AI Imagine the Universe?" published on Towards Data Science.

Generative Adversarial Network - Generating Universe This repository contains part of the code used to make the images visible in the article "How doe

9 Dec 18, 2022

[CVPR 2021] Exemplar-Based Open-Set Panoptic Segmentation Network (EOPSN)

EOPSN: Exemplar-Based Open-Set Panoptic Segmentation Network (CVPR 2021) PyTorch implementation for EOPSN. We propose open-set panoptic segmentation t

49 Dec 30, 2022

Implementation of Squeezenet in pytorch, pretrained models on Cifar 10 data to come

Pytorch Squeeznet Pytorch implementation of Squeezenet model as described in https://arxiv.org/abs/1602.07360 on cifar-10 Data. The definition of Sque

86 Oct 28, 2022

Code for the CVPR2021 workshop paper "Noise Conditional Flow Model for Learning the Super-Resolution Space"

NCSR: Noise Conditional Flow Model for Learning the Super-Resolution Space Official NCSR training PyTorch Code for the CVPR2021 workshop paper "Noise

57 Oct 03, 2022

Jittor 64*64 implementation of StyleGAN

StyleGanJittor (Tsinghua university computer graphics course) Overview Jittor 64

3 Jan 20, 2022

A self-supervised 3D representation learning framework named viewpoint bottleneck.

Pointly-supervised 3D Scene Parsing with Viewpoint Bottleneck Paper Created by Liyi Luo, Beiwen Tian, Hao Zhao and Guyue Zhou from Institute for AI In

63 Aug 11, 2022

Context Decoupling Augmentation for Weakly Supervised Semantic Segmentation

Context Decoupling Augmentation for Weakly Supervised Semantic Segmentation The code of: Context Decoupling Augmentation for Weakly Supervised Semanti

54 Dec 12, 2022

Deeprl - Standard DQN and dueling network for simple games

DeepRL This code implements the standard deep Q-learning and dueling network with experience replay (memory buffer) for playing simple games. DQN algo

6 Apr 12, 2020

Rayvens makes it possible for data scientists to access hundreds of data services within Ray with little effort.

Rayvens augments Ray with events. With Rayvens, Ray applications can subscribe to event streams, process and produce events. Rayvens leverages Apache

32 Dec 25, 2022

ViDT: An Efficient and Effective Fully Transformer-based Object Detector

ViDT: An Efficient and Effective Fully Transformer-based Object Detector by Hwanjun Song1, Deqing Sun2, Sanghyuk Chun1, Varun Jampani2, Dongyoon Han1,

262 Dec 27, 2022

[ICLR 2021 Spotlight Oral] "Undistillable: Making A Nasty Teacher That CANNOT teach students", Haoyu Ma, Tianlong Chen, Ting-Kuei Hu, Chenyu You, Xiaohui Xie, Zhangyang Wang

Undistillable: Making A Nasty Teacher That CANNOT teach students "Undistillable: Making A Nasty Teacher That CANNOT teach students" Haoyu Ma, Tianlong

71 Dec 28, 2022

For storing the complete exploration of Visual Question Answering for our B.Tech Project

Related tags

Overview

Multi-Image vqa

Owner

Harsh Raj

This repository contains part of the code used to make the images visible in the article "How does an AI Imagine the Universe?" published on Towards Data Science.

[CVPR 2021] Exemplar-Based Open-Set Panoptic Segmentation Network (EOPSN)

Implementation of Squeezenet in pytorch, pretrained models on Cifar 10 data to come

Code for the CVPR2021 workshop paper "Noise Conditional Flow Model for Learning the Super-Resolution Space"

Jittor 64*64 implementation of StyleGAN

A self-supervised 3D representation learning framework named viewpoint bottleneck.

Context Decoupling Augmentation for Weakly Supervised Semantic Segmentation

Deeprl - Standard DQN and dueling network for simple games

Rayvens makes it possible for data scientists to access hundreds of data services within Ray with little effort.

ViDT: An Efficient and Effective Fully Transformer-based Object Detector

[ICLR 2021 Spotlight Oral] "Undistillable: Making A Nasty Teacher That CANNOT teach students", Haoyu Ma, Tianlong Chen, Ting-Kuei Hu, Chenyu You, Xiaohui Xie, Zhangyang Wang

Finding an Unsupervised Image Segmenter in each of your Deep Generative Models

ICON: Implicit Clothed humans Obtained from Normals (CVPR 2022)

Joint parameterization and fitting of stroke clusters

End-to-End Dense Video Captioning with Parallel Decoding (ICCV 2021)

Import Python modules from dicts and JSON formatted documents.

TransVTSpotter: End-to-end Video Text Spotter with Transformer

Release of the ConditionalQA dataset

Camera Distortion-aware 3D Human Pose Estimation in Video with Optimization-based Meta-Learning

NumPy로 구현한 딥러닝 라이브러리입니다. (자동 미분 지원)