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nuaacj's Projects

afnet icon afnet

Code for paper in CVPR2019, 'Attentive Feedback Network for Boundary-aware Salient Object Detection'

apex icon apex

A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch

basnet icon basnet

Code for CVPR 2019 paper. BASNet: Boundary-Aware Salient Object Detection

c2snet icon c2snet

Contour Knowledge Transfer for Salient Object Detection

caffe icon caffe

Caffe: a fast open framework for deep learning.

code-and-dataset-for-capsal icon code-and-dataset-for-capsal

This project provides the code and datasets for 'CapSal: Leveraging Captioning to Boost Semantics for Salient Object Detection', CVPR 2019.

cs-books icon cs-books

🔥🔥超过1000本的计算机经典书籍、个人笔记资料以及本人在各平台发表文章中所涉及的资源等。书籍资源包括C/C++、Java、Python、Go语言、数据结构与算法、操作系统、后端架构、计算机系统知识、数据库、计算机网络、设计模式、前端、汇编以及校招社招各种面经~

cyclegan icon cyclegan

Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.

darknet icon darknet

YOLOv4 - Neural Networks for Object Detection (Windows and Linux version of Darknet )

deepsaldet icon deepsaldet

Source code for our CVPR 2015 work on saliency detection by multi-context deep learning

deepsaliency icon deepsaliency

Source Code and Model for DeepSaliency: Multi-Task Deep Neural Network Model for Salient Object Detection

dinet icon dinet

A dilated inception network for visual saliency prediction (TMM 2019)

dss icon dss

code for "Deeply supervised salient object detection with short connections" published in CVPR 2017

ebook-1 icon ebook-1

A collection of classic computer science books from Internet

egnet icon egnet

EGNet:Edge Guidance Network for Salient Object Detection (ICCV 2019)

eldnet icon eldnet

Source code for our journal submission : ELD-Net: An efficient deep learning architecture for accurate saliency detection

f3net icon f3net

Codes for the AAAI 2020 paper "F3Net: Fusion, Feedback and Focus for Salient Object Detection"

fire-detection-image-dataset icon fire-detection-image-dataset

This dataset contains normal images and images with fire. It is highly unbalanced to reciprocate real world situations. It consists of a variety of scenarios and different fire situations (intensity, luminosity, size, environment etc).

fpn icon fpn

Feature Pyramid Networks for Object Detection

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