implementation of Bag of Words (BoW) Scene Recognition
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Updated
Jan 14, 2023 - Python
implementation of Bag of Words (BoW) Scene Recognition
Machine Learning: generalized pooling functions of max and average pooling
CS838 Group Assignments
This project uses Convolutional Neural Networks to identify scene of image. It uses the dataset from the "Scene-Recognition-SVM" repository.
In this project, SVMs and Bag of Words were used to identify image scene.
Python 3 client for Archive of Many Outdoor Scenes
Multi-class Logistic Regression Classifier with Spatial Pyramid Matching for Feature Extraction
Indoor Scene Recognition using Visual Attributes trained in PyTorch
Timecode and chapter generator for YouTube videos based on heuristic scene detection and CLIPxGPT Captioner
电子科技大学 2020 级《计算机视觉与模式识别》课程代码。
[IAC 2023, AA 2024] This repository contains the code used in our paper, "AstrobeeCD: Change Detection in Microgravity with Free-Flying Robots." This method is useful for detecting 3D scene changes given a 3D model, a sequence of images, and a sequence of camera poses.
Approximating a 3DCNN with a 2DCNN
A scene recognition application using fast.ai
This repository contains the codebase for MovieCLIP: Visual Scene Recognition in Movies
🌎 Web Frontend for the open source project http://photos.network
Source code for a Media Intelligence Video Analysis solution that can identify specific elements in video content. This layer is the basis for identifying and indexing video analysis elements that in the future can be used for finding specific scenes based on a set of rules.
A practical implementation of pixel level segmentation based road detection and steering angle estimation methods.
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