A Pytorch Implementation for Compact Bilinear Pooling.

Last update: Dec 23, 2022

Overview

CompactBilinearPooling-Pytorch

A Pytorch Implementation for Compact Bilinear Pooling. Adapted from tensorflow_compact_bilinear_pooling

Prerequisites

pip install pytorch_fft

Usage

from torch import nn
from torch.autograd import Variable
from CompactBilinearPooling import CompactBilinearPooling

bottom1 = Variable(torch.randn(128, 512, 14, 14)).cuda()
bottom2 = Variable(torch.randn(128, 512, 14, 14)).cuda()

layer = CompactBilinearPooling(512, 512, 8000)
layer.cuda()
layer.train()

out = layer(bottom1, bottom2)

Reference

Yang Gao, et al. "Compact Bilinear Pooling." in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (2016).
Akira Fukui, et al. "Multimodal Compact Bilinear Pooling for Visual Question Answering and Visual Grounding." arXiv preprint arXiv:1606.01847 (2016).

Owner

GitHub Repository

Automatic labeling, conversion of different data set formats, sample size statistics, model cascade

Simple Gadget Collection for Object Detection Tasks Automatic image annotation Conversion between different annotation formats Obtain statistical info

4 Aug 24, 2022

Neural HMMs are all you need (for high-quality attention-free TTS)

Neural HMMs are all you need (for high-quality attention-free TTS) Shivam Mehta, Éva Székely, Jonas Beskow, and Gustav Eje Henter This is the official

0 Oct 28, 2022

Code corresponding to The Introspective Agent: Interdependence of Strategy, Physiology, and Sensing for Embodied Agents

The Introspective Agent: Interdependence of Strategy, Physiology, and Sensing for Embodied Agents This is the code corresponding to The Introspective

0 Jan 10, 2022

End-to-End Referring Video Object Segmentation with Multimodal Transformers

End-to-End Referring Video Object Segmentation with Multimodal Transformers This repo contains the official implementation of the paper: End-to-End Re

608 Dec 30, 2022

Evaluation toolkit of the informative tracking benchmark comprising 9 scenarios, 180 diverse videos, and new challenges.

Informative-tracking-benchmark Informative tracking benchmark (ITB) higher diversity. It contains 9 representative scenarios and 180 diverse videos. m

15 Nov 26, 2022

No Code AI/ML platform

NoCodeAIML No Code AI/ML platform - Community Edition Video credits: Uday Kiran Typical No Code AI/ML Platform will have features like drag and drop,

5 Jan 28, 2022

An example showing how to use jax to train resnet50 on multi-node multi-GPU

jax-multi-gpu-resnet50-example This repo shows how to use jax for multi-node multi-GPU training. The example is adapted from the resnet50 example in d

20 Jul 04, 2022

CURL: Contrastive Unsupervised Representations for Reinforcement Learning

CURL Rainbow Status: Archive (code is provided as-is, no updates expected) This is an implementation of CURL: Contrastive Unsupervised Representations

46 Dec 12, 2022

A particular navigation route using satellite feed and can help in toll operations & traffic managemen

How about adding some info that can quanitfy the stress on a particular navigation route using satellite feed and can help in toll operations & traffic management The current analysis is on the satel

1 Feb 14, 2022

Libtorch yolov3 deepsort

Overview It is for my undergrad thesis in Tsinghua University. There are four modules in the project: Detection: YOLOv3 Tracking: SORT and DeepSORT Pr

226 Dec 13, 2022

Construct a neural network frame by Numpy

本项目的CSDN博客链接：https://blog.csdn.net/weixin_41578567/article/details/111482022 1. 概览本项目主要用于神经网络的学习，通过基于numpy的实现，了解神经网络底层前向传播、反向传播以及各类优化器的原理。该项目目前已实现的功

24 Jan 22, 2022

SegNet including indices pooling for Semantic Segmentation with tensorflow and keras

SegNet SegNet is a model of semantic segmentation based on Fully Comvolutional Network. This repository contains the implementation of learning and te

172 Dec 23, 2022

SPTAG: A library for fast approximate nearest neighbor search

SPTAG: A library for fast approximate nearest neighbor search SPTAG SPTAG (Space Partition Tree And Graph) is a library for large scale vector approxi

4.3k Jan 01, 2023

TensorFlow code for the neural network presented in the paper: "Structural Language Models of Code" (ICML'2020)

SLM: Structural Language Models of Code This is an official implementation of the model described in: "Structural Language Models of Code" [PDF] To ap

73 Nov 06, 2022

Weakly Supervised Dense Event Captioning in Videos, i.e. generating multiple sentence descriptions for a video in a weakly-supervised manner.

WSDEC This is the official repo for our NeurIPS paper Weakly Supervised Dense Event Captioning in Videos. Description Repo directories ./: global conf

96 Nov 01, 2022