WenyaoZhang
WenyaoZhang
I want to add some other limitations of traversability, but I don't know how to correct the code and which CPP file?
Thanks for your great work! And I want to know how to run on cifar_100?
我用的自己的模型,刚开始还是0.78多,后面就一直是0.5了。
Thanks for your excellent work! I want to know if the text embedding can be recovered to text.
Thanks for your great work! The previous issue has been solved, but I find a new issue. If I change the code (https://github.com/KaiyangZhou/CoOp/blob/ff61507c790454bce7c5052c3ac39e60772f1f89/trainers/coop.py#L248) as self.register_model("model", self.model, self.optim, self.sched). The result...
Dear Zhou: When I train my network on oxford_flower(epoch=200), it get a great result as follows: => result * total: 2,463 * correct: 2,268 * accuracy: 92.1% * error: 7.9%...
Thanks for your great work! I meet this issue : I employ my backbone and the trained loss is lower than bevdet-r50, but the performance is worse than bevdet-r50, can...