Peter Robicheaux (Roboflow) reviews Microsoft's Florence-2 architecture at a NeurIPS 2024 retrospective on vision models.
Assertion Supported
Robicheaux: 2B PaliGemma 2 Beats ChatGPT on MMVP with 47.3%
“The big result, and one of the reasons that I was really excited about this paper, is that they blow everything else away on MMVP. I mean, 47.3, sure, that's nowhere near human accuracy, which again is 94%, but for, you know, two billion language, two billion …”
Assertion Supported
Robicheaux: AIMv2 Avoids Performance Saturation as Scale Increases
“And we can see that this is finally a model that doesn't saturate. It's even at the highest parameter count, it's, it appears to be Well, at the highest parameter account, it appears to be improving in performance with more and more samples seen”
Opinion
Robicheaux: Convolutional models fail to benefit from pre-training compared to transformers
“Essentially, I think it's kind of been shown now that convolution models, like, just don't benefit from pre-training and just don't, like, have the level of intelligence to transform models.”
Insight
Robicheaux: CLIP encoders lack fine-grained visual features due to caption-matching objective
“Models that have been initialized with Clip as their vision encoder, they don't have fine-grained details and the features extracted using Clip because Clip sort of doesn't need to find these fine grade details to do its job correctly, which is just to match c…”
Assertion Supported
Robicheaux: Adding DINOv2 features degrades multimodal language modeling performance
“As you increase the number of Dynav two features, your model does worse and worse and worse on the actual language modeling task, and that's because Dynav two features were trained completely from a self-supervised manner and completely in image space. It know…”
Assertion Supported
Robicheaux: PaliGemma 1 Pre-Training Saturates at 300M Examples
“One of my critiques, I guess, of polygeoma one, at least, is that you find that performance saturates as a pre-trained model after only three hundred million examples seen.”