244 Open source projects that are alternatives of or similar to bottom-up-features

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

A Pytorch implementation of Attention on Attention module (both self and guided variants), for Visual Question Answering

[TPAMI Special Issue on ICCV 2021 Best Papers, Oral] Just Ask: Learning to Answer Questions from Millions of Narrated Videos

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

Code for NeurIPS 2019 paper ``Self-Critical Reasoning for Robust Visual Question Answering''

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Extracting all the features of a product from its reviews, giving every feature a score (depending on the user reviews) and also ranking the reviews based on their usefulness

Feature extraction of speech signal is the initial stage of any speech recognition system.

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Automatic feature engineering using Generative Adversarial Networks using TensorFlow.

Automatic feature engineering using deep learning and Bayesian inference using TensorFlow.

AntroPy: entropy and complexity of (EEG) time-series in Python

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Target detection in the first frame and Tracking target by SiamRPN.

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C++ implementation of the nonrigid descriptor Geobit presented at ICCV 2019 "GEOBIT: A Geodesic-Based Binary Descriptor Invariant to Non-Rigid Deformations for RGB-D Images"

Versatile Nonlinear Feature Selection Algorithm for High-dimensional Data

No description or website provided.

Improving Visual Relation Detection using Depth Maps (ICPR 2020)

This repository consist of a 50-day program. All the statistics required for the complete understanding of data science will be uploaded in this repository.

This repo provides projects on deep-learning mainly using Tensorflow 2.0

Learning Based Java (LBJava)

Tensorflow 2 Faster-RCNN implementation from scratch supporting to the batch processing with MobileNetV2 and VGG16 backbones

This repository provides a basic Pythonic toolkit for the VisDrone-Dataset (2018).

💥Faster R-CNN from scratch written with Keras

Use advanced feature engineering strategies and select best features from your data set with a single line of code.

ECCV2018(Challenge-Object Detection in Images)

🎒 Bag of Visual words (BoW) approach for object classification and detection in images together with SIFT feature extractor and SVM classifier.

No description or website provided.

Fingerprint recognition engine for .NET that takes a pair of human fingerprint images and returns their similarity score. Supports efficient 1:N search.

Code for ICML 2019 paper "Probabilistic Neural-symbolic Models for Interpretable Visual Question Answering" [long-oral]

Towhee is a framework that is dedicated to making neural data processing pipelines simple and fast.

ezSIFT: An easy-to-use standalone SIFT library written in C/C++

Compare neural networks by their feature similarity

TensorFlow implementation of Faster RCNN for Object Detection

Top 5th percentile solution to the Kaggle knowledge problem - Bike Sharing Demand

Official Dynamic Graph Representation PyTorch implement for iris/face recognition

Joint detection of Object and its Semantic parts using Attention-based Feature Fusion on PASCAL Parts 2010 dataset

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

Repo for ICCV 2021 paper: Beyond Question-Based Biases: Assessing Multimodal Shortcut Learning in Visual Question Answering

Package for automatic beat-mixing of music files in Python 🐻🎚

Classifying time series using feature extraction

faster-rcnn_VS2013with C++

Visual Similarity research at Fynd. Contains code to reproduce 2 of our research papers.

Effortless Deep Training for Traffic Sign Detection Using Templates and Arbitrary Natural Images

Another pytorch implementation of Faster RCNN.

A framework for Multimodal Intelligence research from Inspur HSSLAB.

PyTorch implementation of paper "Visual Concept-Metaconcept Learner", NeruIPS 2019

A Transfer Learning based Object Detection API that detects all objects in an image, video or live webcam. An SSD model and a Faster R-CNN model was pretrained on Mobile net coco dataset along with a label map in Tensorflow. This model were used to detect objects captured in an image, video or real time webcam. Open CV was used for streaming obj…

Fast k-Nearest Neighbors Classifier for Large Datasets

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