Cofusing about incremental object detection.

jinweiisgreat commented 2 years ago

Thank you for your nice paper. But I don't know how to conduct incremental object detection.

According to the open world setting. When the model labels sufficient unknown classes, the model will forward these unknown classes to humans to identify, right?
So, between task2 and task3, we need a human to manually add the new classes identified by task2 to the model, right?
In my understanding, the whole experiment process can be divided into two parts. The first stage is detecting new classes and the second stage is adding new classes to the model, right?
So, there will be a process of human-computer interaction between two tasks, right?

Sorry, I am new to the field of incremental learning. Just confusing about this. Maybe I missed something in the article.

知道的也可以一起讨论，就是我不清楚增量环节是怎么做的，task1是voc，这我们都知道；task2是识别多出来的类，那么在task3之前是不是要手动把task2的unknown给标注出来。这个手动标注是怎么做的？所以说整个实验是分成了4个task，在每一个task之间是暂停程序，人为的加标签进去？这么看起来挺繁琐的。

我不知道啊，我看实验部分也没说，是不是我看漏了？

nulidetuanzi commented 2 years ago

你好，可以交流一下吗？

JosephKJ commented 1 year ago

In-between tasks, we assume that the identified unknowns (automatically identified by the OWOD model), would be labeled by an annotator.

Please let me know whether this clarifies.

jinweiisgreat commented 1 year ago

你好，可以交流一下吗？

加一下微信，1204498144

JiuqingDong commented 1 year ago

Hi, jinwei, Is this your Wechat ID? May I discuss some questions with you? I check your profile, and I am also interest in OWOD. Looking forward to your reply.

jinweiisgreat commented 1 year ago

Hi, jinwei, Is this your Wechat ID? May I discuss some questions with you? I check your profile, and I am also interest in OWOD. Looking forward to your reply.

yes

JosephKJ / OWOD

Cofusing about incremental object detection. #100