idrl-lab Full-coverage-camouflage-adversarial-attack issues - Githubissues

idrl-lab / Full-coverage-camouflage-adversarial-attack

https://idrl-lab.github.io/Full-coverage-camouflage-adversarial-attack/

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I made my own dataset by unreal UE4, but got bad result

#14 Francisapzii opened 4 months ago
0
请问数据集怎么采的

#13 YangXianqi opened 5 months ago
0
关于Algorithm 1

#12 Francisapzii opened 8 months ago
0
关于公式6

#11 Francisapzii opened 8 months ago
0
The detail about how to implement the experiment on Carla and the video

#10 Wilmido opened 1 year ago
0
请问只需要5个epoch就能对12500组数据完成训练吗？为什么我生成的纹理效果这么差

#9 lxch1987 opened 1 year ago
2
If the dataset carla_dataset lacks training data?

#8 onetrance opened 1 year ago
5
请问生成的纹理是如何在物理场景下打印成文件贴在车身呢?

#7 whatsyou opened 1 year ago
1
I would like to know whether different car orientation requires different face files

#6 lcj-la opened 1 year ago
1
May I ask whether the detection model used for the test in the paper is Yolov5L.pt

#5 logicsh closed 2 years ago
0
attack performance

#4 FenHua opened 2 years ago
0
which backbone of faster-rcnn and mask-rcnn is used in the paper?

#3 2333heheda opened 2 years ago
1
How to extract the texture ?

#2 naufalso closed 8 months ago
1
How to use "phy_attack" dataset

#1 pianoforte23 closed 2 years ago
17