文件名称:deepsaldet-master

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基于深度学习的图像显著性检验,在cnn框架的基础上,采用全局与局部的多上下文模型,取得了最优效果。-Significant test image based on the depth of learning, based on cnn fr a mework on the use of global and local multi-context model, and achieved the best results.
(系统自动生成,下载前可以参看下载内容)

下载文件列表





deepsaldet-master

.................\README.md

.................\caffe-sal

.................\.........\CONTRIBUTORS.md

.................\.........\INSTALL.md

.................\.........\LICENSE

.................\.........\Makefile

.................\.........\Makefile.config

.................\.........\Makefile.config.example

.................\.........\README.md

.................\.........\caffe.cloc

.................\.........\data

.................\.........\....\ilsvrc12

.................\.........\....\........\._imagenet_mean.binaryproto

.................\.........\....\........\._synset_words.txt

.................\.........\....\........\._synsets.txt

.................\.........\....\........\._test.txt

.................\.........\....\........\._train.txt

.................\.........\....\........\._val.txt

.................\.........\....\........\get_ilsvrc_aux.sh

.................\.........\....\........\imagenet_mean.binaryproto

.................\.........\docs

.................\.........\....\CNAME

.................\.........\....\README.md

.................\.........\....\_layouts

.................\.........\....\........\default.html

.................\.........\....\development.md

.................\.........\....\getting_pretrained_models.md

.................\.........\....\images

.................\.........\....\......\GitHub-Mark-64px.png

.................\.........\....\index.md

.................\.........\....\installation.md

.................\.........\....\performance_hardware.md

.................\.........\....\stylesheets

.................\.........\....\...........\pygment_trac.css

.................\.........\....\...........\reset.css

.................\.........\....\...........\styles.css

.................\.........\examples

.................\.........\........\imagenet.prototxt

.................\.........\........\imagenet_deploy.prototxt

.................\.........\........\imagenet_solver.prototxt

.................\.........\........\imagenet_val.prototxt

.................\.........\........\synset_words.txt

.................\.........\include

.................\.........\.......\caffe

.................\.........\.......\.....\blob.hpp

.................\.........\.......\.....\caffe.hpp

.................\.........\.......\.....\common.hpp

.................\.........\.......\.....\common_layers.hpp

.................\.........\.......\.....\data_layers.hpp

.................\.........\.......\.....\filler.hpp

.................\.........\.......\.....\internal_thread.hpp

.................\.........\.......\.....\layer.hpp

.................\.........\.......\.....\loss_layers.hpp

.................\.........\.......\.....\net.hpp

.................\.........\.......\.....\neuron_layers.hpp

.................\.........\.......\.....\solver.hpp

.................\.........\.......\.....\syncedmem.hpp

.................\.........\.......\.....\test

.................\.........\.......\.....\....\test_caffe_main.hpp

.................\.........\.......\.....\....\test_gradient_check_util.hpp

.................\.........\.......\.....\util

.................\.........\.......\.....\....\benchmark.hpp

.................\.........\.......\.....\....\device_alternate.hpp

.................\.........\.......\.....\....\im2col.hpp

.................\.........\.......\.....\....\insert_splits.hpp

.................\.........\.......\.....\....\io.hpp

.................\.........\.......\.....\....\math_functions.hpp

.................\.........\.......\.....\....\mkl_alternate.hpp

.................\.........\.......\.....\....\rng.hpp

.................\.........\.......\.....\....\upgrade_proto.hpp

.................\.........\.......\.....\vision_layers.hpp

.................\.........\matlab

.................\.........\......\caffe

.................\.........\......\.....\ilsvrc_2012_mean.mat

.................\.........\......\.....\matcaffe.cpp

.................\.........\......\.....\matcaffe_batch.m

.................\.........\......\.....\matcaffe_demo.m

.................\.........\......\.....\matcaffe_init.m

........

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