Advanced AI-driven approach for counting and identifying singulation anomalies in plastic waste recycling.
-
Updated
Jan 15, 2024 - Jupyter Notebook
Advanced AI-driven approach for counting and identifying singulation anomalies in plastic waste recycling.
Trained model used for Salient Object Detection models evaluation for my thesis.
The implementation of our proposed PiNet for Salient Object Detection
Code used for Salient Object Detection models evaluation for my thesis.
Transformers-ready; Code for CVPR 2019 paper. BASNet: Boundary-Aware Salient Object Detection
Transformers-ready; This is the repo for our new project Highly Accurate Dichotomous Image Segmentation
Implemented salient object detection in images using TensorFlow and OpenCV
Python 3 Code of Cascaded Partial Decoder for Fast and Accurate Salient Object Detection (CVPR2019)
This is the PyTorch implementation of paper 'DenseFNet: Dense Encoder-Decoder Network with Focal Loss for Salience Object Detection'.
A more complete python version (GPU) of the evaluation for salient object detection (with S-measure, Fbw measure, MAE, max/mean/adaptive F-measure, max/mean/adaptive E-measure, relax-F-Measure, IOU score, PRcurve and F-measure curve)
SA-DETR: Saliency Attention-based DETR for Salienct Object Detection
✂️ Simplified version of U^2-Net for testing purposes
Faster R-CNN for Salient Object Detection.
Jing Lou*, Huan Wang, Longtao Chen, Fenglei Xu, Qingyuan Xia, Wei Zhu, Mingwu Ren*, "Exploiting Color Name Space for Salient Object Detection," Multimedia Tools and Applications, vol. 79, no. 15, pp. 10873-10897, 2020. doi:10.1007/s11042-019-07970-x
Add a description, image, and links to the salient-object-detection topic page so that developers can more easily learn about it.
To associate your repository with the salient-object-detection topic, visit your repo's landing page and select "manage topics."