Pytorch implementation for Semantic Segmentation/Scene Parsing on MIT ADE20K dataset

🎥 Python and OpenCV-based scene cut/transition detection program & library.

☕ Fast-RCNN and Scene Recognition using Caffe

MR-CNNs for Large-Scale Scene Recognition

Keras code and weights files for the VGG16-places365 and VGG16-hybrid1365 CNNs for scene classification

PlacenoteSDK Sample app in native iOS using ARKit, written primarily in Swift

YAPO e+ - Yet Another Porn Organizer (extended)

this is the code release for ''Weakly Supervised PatchNets: Describing and Aggregating Local Patches for Scene Recognition''

Pytorch Implementation of Semantic-Aware Scene Recognition Paper

Indoor Scene Recognition in 3D

EYE-EEG toolbox for combining eye-tracking & EEG

Multiplayer AR game sample

This project is to use deep learning to auto classify the scene images with limited amount of training images.

Semantic Segmentation PyTorch code for our paper: Pyramidal Convolution: Rethinking Convolutional Neural Networks for Visual Recognition (https://arxiv.org/pdf/2006.11538.pdf)

Scene recognition by combining local and global image descriptors

DeepEye is a surveillance application leveraging the current sate of art deep learning and computer vision techniques. Current back-end framework uses Google Object Detection Api for object detection and tracking. It is open-source and feel free to modify for your own usage.

This repository contains the dataset and the source code for the detection of visual relationships with the Logic Tensor Networks framework.

Image Classification Model in PyTorch for Indoor Scene Recognition

scene classification for 360 photos

Solve classical computer vision topic, image recognition, with simplest method, tiny images and KNN(K Nearest Neighbor) classification, and then move forward to the state-of-the-art techniques, bags of quantized local features and linear classifiers learned by SVC(support vector classifier).

Non-Uniform Subset Selection for Active Learning in Structured Data

Machine Learning: generalized pooling functions of max and average pooling

Sub-Scene recognition and visualization

Automatic Curation of Images using Caffe and YOLO (for Scene and Object Identification)

Python 3 client for Archive of Many Outdoor Scenes

Clustering scenes

When CNNs Meet Random RNNs: Towards Multi-Level Analysis for RGB-D Object and Scene Recognition

Demo of VGG-16 scene recognition model trained on places-365 dataset

code complementing the article