Dongsheng Jiang

+1

can you provide the final results of swin-L for 300 epoch, I got knn 74.6 at epoch 180 of 300 which is lower than msg_small at same epoch. I suspected...

have you tried the linear prob eval?

I just tried your latest updata of end-to-end finetuning, it seems good. But I think linear prob still is a metric cannot avoided.

https://github.com/facebookresearch/dino/blob/main/eval_linear.py dino contains the code of knn and linear eval code. I am not sure how to treat the cls token, as the linear prob only finetune the last head,...

Hi, I finished the epoch 1600 training, but I only got fine-tuning result of 83.15 for epoch 1400 and 82.97 for epoch 1600. which is lower than your reported epoch...

From your pretrained log of vit_base, I found your max learning rate is 0.0024, is you run with 128X32 batch size? according to the code: args.lr = args.lr * total_batch_size...

ok, I will try your setting to reimplement your results for epoch 400. But the results of epoch 1600 is on batchsize 4096, still not good enough. the ft accuracy...

Thanks for the convert function, but when I fine-tuned from the ckpt with pipeline.config of ssd_mobilenet_v1_coco, tensorflow reports that there is no weight of (may tensors) in the fine-tuned ckpt....

Not yet 蒋 邮箱：[email protected] 签名由 网易邮箱大师 定制 On 01/17/2019 02:46, Yoel Molinas wrote: @Dongshengjiang Have you got the pipeline.config file? —You are receiving this because you were mentioned.Reply to this...