Trained model used for Salient Object Detection models evaluation for my thesis.
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Updated
Aug 15, 2020 - Python
Trained model used for Salient Object Detection models evaluation for my thesis.
The implementation of our proposed PiNet for Salient Object Detection
Python 3 Code of Cascaded Partial Decoder for Fast and Accurate Salient Object Detection (CVPR2019)
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.
Learning Adaptive Fusion Bank for Multi-modal Salient Object Detection
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
Pytorch implementation of Amulet(ICCV 2017).
PyTorch implementation of "Revisiting Salient Object Detection: Simultaneous Detection, Ranking, and Subitizing of Multiple Salient Objects", CVPR 2018
RGB-D Salient Object Detection with Ubiquitous Target Awareness. IEEE Transactions on Image Processing (TIP) 2021
Code for ACM MM2021 paper "Complementary Trilateral Decoder for Fast and Accurate Salient Object Detection"
Pytorch implementation of DHSNet(CVPR2016)
Alignment-Free RGBT Salient Object Detection: Semantics-guided Asymmetric Correlation Network and A Unified Benchmark
Responsive Web app scanner using u^2-net
Paper "SeqRank: Sequential Ranking of Salient Objects" is accepted in AAAI-24.
A python re-implementation of Real-Time Salient Object Detection with a Minimum Spanning Tree, CVPR 2016
[TIP 2022] official repo of "Weakly Supervised RGB-D Salient Object Detection with Prediction Consistency Training and Active Scribble Boosting"
Official implementation for CVIU2023 paper "Addressing Multiple Salient Object Detection via Dual-Space Long-Range Dependencies".
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