This repository provides a Python implementation of Selective Search for object detection. It includes code for segmenting an image using the Felzenszwalb method, extracting candidate regions for object detection, and visualizing these regions.
Selective Search reimplementation in PyTorch that allows to extract not only the bounding boxes, but also the region masks
A Python implementation from scratch of RCNN algorithm for Object Detection.
A project about car detection using RCNN model
Python implementation of selective search
MSc Thesis at FER-2021/22 led by izv. prof. dr. sc. Marko Čupić
Implementation of R-CNN
This repo contains the code for region based CNN network
Image classification svm with simple neural network.
Implement Selective Search in traditional computer vision. 手刻實作電腦圖像辨識領域中的經典算法 - Selective Search
(contribution) Selective Search Implementation for Python
Python implementation of Selective Search for Object Recognition.
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