2025计算机科学一套 基于APSN的高效半监督图片分类算法研究(论文+程序代码源码)定稿.zip
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- thesis_temp
基于APSN的高效半监督图片分类算法研究.docx(3.7 MB)
.gitignore(313 B)
- .idea
.gitignore(190 B)
- inspectionProfiles
misc.xml(184 B)
modules.xml(281 B)
thesis_temp.iml(481 B)
workspace.xml(2.68 KB)
- app
globals.css(2.37 KB)
layout.tsx(353 B)
page.tsx(149 B)
- components
components.json(443 B)
experiment-implementation.tsx(79.83 KB)
experiment-plan.tsx(21.68 KB)
experiment-recommendations.tsx(17.91 KB)
- hooks
use-mobile.tsx(565 B)
use-toast.ts(3.86 KB)
- lib
- losses
amcrn_loss.py(9.63 KB)
fixmatch.py(2.54 KB)
mean_teacher.py(1.91 KB)
pseudo_label.py(1.36 KB)
- __pycache__
main.py(36.88 KB)
- models
resnet.py(4.88 KB)
- __pycache__
next.config.mjs(884 B)
package.json(2.14 KB)
pnpm-lock.yaml(92 B)
postcss.config.mjs(135 B)
- public
placeholder-logo.png(958 B)
placeholder-logo.svg(3.13 KB)
placeholder-user.jpg(2.55 KB)
placeholder.jpg(1.56 KB)
placeholder.svg(3.18 KB)
- results
run_experiments.py(13.44 KB)
- styles
tailwind.config.ts(2.51 KB)
thesis-document.tsx(49.32 KB)
thesis-part1.tsx(33.84 KB)
tsconfig.json(595 B)
- utils
augmentation.py(4.06 KB)
data_utils.py(9.06 KB)
train_utils.py(1.49 KB)
- __pycache__
augmentation.cpython-38.pyc(3.04 KB)
data_utils.cpython-38.pyc(5.97 KB)
train_utils.cpython-38.pyc(2.17 KB)
visualize_results.py(4.46 KB)
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