Boosting the Generalization Capability in Cross-Domain Few-shot Learning via Noise-enhanced Supervised Autoencoder
Boosting the Generalization Capability in Cross-Domain Few-shot Learning via Noise-enhanced Supervised Autoencoder
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stylegan系列
styleGAN_v1
A Style-Based Generator Architecture for Generative Adversarial Networks
If a latent space is sufficiently disentangled, it should be possible to find direction vectors that consistently correspond to individual factors of variation
styleGAN_v2
Analyzing and Improving the Image Quality of StyleGAN
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C2F_ZSL待补实验
待补实验一
gama和walk_num超参数实验
因为使用了超参数\(\gamma\)控制混合样本时的相似度权重,因此需要取gamma=0.0(mix unsim), 0.2, 0.5(random sim, same weight), 0.8, 1.0(mix sim).
当前对于CUB和AWA数据集还需要补gamma=0.2, 0.8, walk_num=2, 4, 6, 8, 10的实验。
nohup python train_awa2.py --opts
gama 0.2
fine_iter_num 5...
使用matplotlib绘制图参考代码
绘制3Dbar
添加文本标注
绘图颜色设置
import numpy as np
import matplotlib
matplotlib.rcParams['font.family'] = 'Times New Roman'
matplotlib.rcParams['mathtext.default'] = 'regular'
import matplotlib.pyplot as plt
# from mpl_toolkits.mplot3d import Axes3D
# 设置在jupyter中显示大小
import pylab
pylab.rcParams['figure.figsize'] = (15.0, 8.0)
# plt.figure(facecolor=...
What Remains of Visual Semantic Embeddings arXiv_2021
What Remains of Visual Semantic Embeddings
What Remains of Visual Semantic Embeddings
Exploiting a Joint Embedding Space for Generalized Zero-Shot Semantic Segmentation ICCV_2021
Exploiting a Joint Embedding Space for Generalized Zero-Shot Semantic Segmentation
ASMR Learning Attribute-Based Person Search with Adaptive Semantic Margin Regularizer ICCV_2021
作者所在实验室网址
PETA和Market-1501数据集下载地址
SAL_ECCV2020 github
SAL_ECCV2020
89 post articles, 12 pages.