Advanced AI-driven approach for counting and identifying singulation anomalies in plastic waste recycling.
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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.
Code used for Salient Object Detection models evaluation for my thesis.
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
This repository details the various methods I have attempted for skin segmentation.
Faster R-CNN for Salient Object Detection.
Pytorch implementation of Amulet(ICCV 2017).
Calorie Counter is saas app bringing more consciousness into food habits. Classification and salient object detection applied under the hood. Web server built with fastapi
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
Salient Object Detection with Complex Scene based on Cognitive Neuroscience
An implementation on paper "Salient Object Detection with Convex Hull Overlap"
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