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visdial

[CVPR 2017] Torch code for Visual Dialog

visdial-amt-chat

[CVPR 2017] AMT chat interface code used to collect the Visual Dialog dataset

visdial.pytorch

visual dialog model in pytorch

visdom

A flexible tool for creating, organizing, and sharing visualizations of live, rich data. Supports Torch and Numpy.

vision

Datasets, Transforms and Models specific to Computer Vision

vissl

VISSL is FAIR's library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.

visual-attention-model

visual-chatbot

:cloud: :eyes: :speech_balloon: Visual Chatbot

visual-compatibility

Context-Aware Visual Compatibility Prediction (https://arxiv.org/abs/1902.03646)

visual-concepts

Code for detecting visual concepts in images.

visual-dynamics

A reproduction of NIPS 2016 paper (Visual Dynamics: Probabilistic Future Frame Synthesis via Cross Convolutional Networks).

visual-dynamics-1

Visual Dynamics: Probabilistic Future Frame Synthesis via Cross Convolutional Networks

visual-feature-attribution-using-wasserstein-gans-pytorch

Implementation of Visual Feature Attribution using Wasserstein GANs (https://arxiv.org/abs/1711.08998) in PyTorch

visual-interaction-networks-pytorch

This's an implementation of deepmind Visual Interaction Networks paper using pytorch

visual-pushing-grasping

Train robotic agents to learn to plan pushing and grasping actions for manipulation with deep reinforcement learning.

visual-qa

Keras-based LSTM/CNN models for Visual Question Answering

visual-question-answering

visual-question-answering-1

Visual Question Answering system's different implementations

visual-question-answering-2

visual-question-answering-3

visual-question-answering-4

A new approach to the VQA challenge

visual-question-answering-5

Deep Learning solving VQA with Pytorch

visual-question-answering-6

visual-question-answering-7

visual-question-answering-8

visual-question-answering-lasagne

visual-question-answering-notes

My notes on Visual Question Answering(VQA) papers

visual-question-answering-tensorflow

Stacked attention network for answering open-ended questions about image

visual-question-answering-using-cnn-lstm-based-stacked-attention-model

visual-question-answering-vqa-

This algorithm answers text-based question from an input image