[CVPR2019] Dual Encoding for Zero-Example Video Retrieval

🌅The code of post "Image retrieval using MatconvNet and pre-trained imageNet"

Visual Q&A reading list

Various hashing methods for image retrieval and serves as the baselines

Released code for the paper: Where To Look: Focus Regions for Visual Question Answering. (CVPR2016)

Visual Question Answering Demo on pretrained model

The "Python Machine Learning" book code repository and info resource

A framework for evaluating image tag assignment, tag refinement and tag-based image retrieval

Zero-shot image tagging by hierarchical semantic embedding

Recurrent Neural Network - A curated list of resources dedicated to RNN

Open Sketch Search Engine－ 3D object retrieval based on sketch image as input

a python lib for image feature extraction

Dynamically predicted neural network structures for multi-domain question answering

A GUI app for 3D object search and retrieval

Volumetric CNN for feature extraction and object classification on 3D data.

Efficient Image Captioning code in Torch, runs on GPU

Combined Spectral Descriptors and LMNN for non-rigid 3D shape retrieval

Simple Baseline for Visual Question Answering

CNN + RNN / LSTM / GRU model for Image Question Answering (VQA)

Visual7W visual question answering models

Video captioning using LSTM and CNN. This is the Visual Learning project done by Rui Zhang, Yujia Huang and Yu Zhang

CNN+LSTM model for Visual Question Answering

code for Stacked attention networks for image question answering

automatic video description generation with GPU training

Toolkit for Visual7W visual question answering dataset

Sketch-based 3D model retrieval