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.
Code used for Salient Object Detection models evaluation for my thesis.
Trained model used for Salient Object Detection models evaluation for my thesis.
The implementation of our proposed PiNet for Salient Object Detection
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
Unified-modal Salient Object Detection via Adaptive Prompt Learning
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).
Learning Adaptive Fusion Bank for Multi-modal Salient Object Detection
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