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A modular framework for vision & language multimodal research from Facebook AI Research (FAIR)

Grad Cam ⭐ 652

[ICCV 2017] Torch code for Grad-CAM

Vqa.pytorch ⭐ 536

Visual Question Answering in Pytorch

Neural Vqa ⭐ 486

❔ Visual Question Answering in Torch

Omninet ⭐ 426

Official Pytorch implementation of "OmniNet: A unified architecture for multi-modal multi-task learning" | Authors: Subhojeet Pramanik, Priyanka Agrawal, Aman Hussain

Tbd Nets ⭐ 335

PyTorch implementation of "Transparency by Design: Closing the Gap Between Performance and Interpretability in Visual Reasoning"

Openvqa ⭐ 225

A lightweight, scalable, and general framework for visual question answering research

Vqa Mfb ⭐ 135

Neural Vqa Attention ⭐ 81

❓ Attention-based Visual Question Answering in Torch

Dense Coattention Network ⭐ 81

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

Slotformer ⭐ 77

Code release for ICLR 2023 paper: SlotFormer on object-centric dynamics models

Grad Cam ⭐ 77

🌈 📷 Gradient-weighted Class Activation Mapping (Grad-CAM) Demo

Vqa Mfb.pytorch ⭐ 55

This project is out of date, I don't remember the details inside...

Rubi.bootstrap.pytorch ⭐ 47

RUBi : Reducing Unimodal Biases for Visual Question Answering

Whats_in_a_question ⭐ 40

CVPR'17 Spotlight: What’s in a Question: Using Visual Questions as a Form of Supervision

Convolutional Vqa ⭐ 38

Computer_vision_primer ⭐ 35

计算机视觉入门

Visual Question Answering ⭐ 32

CNN+LSTM, Attention based, and MUTAN-based models for Visual Question Answering

Miccai19 Medvqa ⭐ 27

AIOZ AI - Overcoming Data Limitation in Medical Visual Question Answering

Figureqa Baseline ⭐ 23

TensorFlow implementation of the CNN-LSTM, Relation Network and text-only baselines for the paper "FigureQA: An Annotated Figure Dataset for Visual Reasoning"

Papernotes ⭐ 23

My notes on some Deep Learning papers

Miccai21_mmq ⭐ 23

Multiple Meta-model Quantifying for Medical Visual Question Answering

Simplevqa ⭐ 18

A Deep Learning based No-reference Quality Assessment Model for UGC Videos

Official Code for REVIVE: Regional Visual Representation Matters in Knowledge-Based Visual Question Answering (NeurIPS 2022)

Coarse-to-Fine Reasoning for Visual Question Answering

The good practice in the VQA system such as pos-tag attention, structed triplet learning and triplet attention is very general and can be inserted into almost any visual and language task

Dvqa_dataset ⭐ 14

DVQA Dataset: A Bar chart question answering dataset presented at CVPR 2018

Vqa Soft ⭐ 13

Accompanying code for "A Simple Loss Function for Improving the Convergence and Accuracy of Visual Question Answering Models" CVPR 2017 VQA workshop paper.

VQA - Visual Question Answering

Relational Network Gluon ⭐ 9

Gluon implement of "A simple neural network module of relational reasoning"

Visual Explanation using Uncertainty based Class Activation Maps

Mac Network ⭐ 6

Memory, Attention and Composition (MAC) Network for CLEVR implemented via KnetLayers

Visual Question Answering System

Show_ask_attend_answer ⭐ 6

Unofficial implementation of Show, Ask, Attend, and Answer VQA model in Keras

Visual Question Answering project for ETHZ's 2016/17 Deep Learning class.

Vqa Flask App ⭐ 5

A simple Flask app to generate answer given an image and a natural language question about the image. The app uses a deep learning model, trained with Tensorflow, behind the scenes.

Relational Network ⭐ 5

Knet implementation of "A simple neural network module for relational reasoning" (Relational Networks) https://arxiv.org/pdf/1706.01427.pdf

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