内容提示: Are we done with ImageNet?Lucas Beyer 1∗ Olivier J. Hénaff 2∗ Alexander Kolesnikov 1∗ Xiaohua Zhai 1∗ Aäron van den Oord 2∗1 Google Brain (Zürich, CH) and 2 DeepMind (London, UK)AbstractYes, and no. We ask whether recent progress on the ImageNet classif ...
they do not perform as well as diffusion models on image and video generation. To effectively use LLMs for visual generation, one crucial component is the visual tokenizer that maps pixel-space inputs to discrete tokens appropriate for LLM learning. In this paper, we introduce MAGVIT-v2...
Based on the compressed sampling theorem to compress and expand small sample data, we use CNN to directly classify the compressed sampling data features. Compared with the original image input, compressing the input can greatly reduce the network's demand for samples. In addition, the surface ...
optimized GPU initialization for detection - we use batch=1 initially instead of re-init with batch=1 added correct calculation of mAP, F1, IoU, Precision-Recall using command darknet detector map... added drawing of chart of average-Loss and accuracy-mAP (-map flag) during training run ....
With a vanilla ViT-Huge model, we achieve 87.8% accuracy when finetuned on ImageNet-1K. This outperforms all previous results that use only ImageNet-1K data.具体方法是时候来谈谈 MAE 的具体方法了。虽然前面铺垫了那么多,但是 CW 认为这是有必要的。教员也告诉我们,看问题要有广度、深度、精度:先...
"GANs typically work with image data and can use CNNs as the discriminator. But this doesn't work the other way around, meaning a CNN cannot use a GAN," Mead said. One of the biggest challenges is always the data quality itself for training the models, especially when we're talking ab...
We ob- served similar data issues in our initial experiments with ”I’m not the cleverest man in the world, but like they say in French: Je ne suis pas un imbecile [I’m not a fool]. In a now-deleted post from Aug. 16, Soheil Eid, Tory candidate in the riding of Joliette, ...
To verify whether functional partitions also emerge in FFNs, we propose to convert a model into its MoE version with the same parameters, namely MoEfication. Specifically, MoEfication consists of two phases: (1) splitting the parameters of FFNs into multiple functional partitions as experts, and ...
(which has already changed its name to Meta), Zara, Epic Games, or Microsoft are just some of the examples of companies that have joined this trend and will be the big drivers of this new universe. There is still work to be done to see 100% of what will be achieved, but we must ...
optimized initialization GPU for detection - we use batch=1 initially instead of re-init with batch=1 added correct calculation ofmAP, F1, IoU, Precision-Recallusing commanddarknet detector map... added drawing of chart of average-Loss and accuracy-mAP (-mapflag) during training ...