Amazon at CVPR: Pietro Perona on computer vision's frontiers

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{"value":"The Conference on Computer Vision and Pattern Recognition ([CVPR](https://www.amazon.science/conferences-and-events/cvpr-2021)) — the premier conference in the field of computer vision — was first held in 1985. [Pietro Perona](https://www.amazon.science/author/pietro-perona), an Amazon Fellow and the Allan E. Puckett Professor of Electrical Engineering and Computation and Neural Systems at the California Institute of Technology, first attended in 1988, when he was a graduate student at the University of California, Berkeley.\n\n“At the time, computer vision was a field for visionaries — pun intended — where we wanted to solve the question of how we can make a machine see,” Perona says. “The whole conference was maybe 200 people. And we had basically no clear idea how to make progress and so would try different things, and we would try and see if we could split the complex problem of vision into simpler questions. And the results were not very good. Now we see in the conference great systems working really well on very difficult problems. So the level of success and ambition is completely different.”\n\n![776020dc588f47a29f3c72fa630e04a5_image1.png](1)\n\nPietro Perona, an Amazon Fellow and the Allan E. Puckett Professor of Electrical Engineering and Computation and Neural Systems at Caltech.\n\nMuch of that success stems, of course, from deep learning, which superseded many earlier computer vision techniques. But, Perona points out, it’s not as if computer vision researchers had simply failed to recognize the utility of deep learning for CVPR’s first 25 years. Until around 2010, he says, using deep learning to tackle computer vision problems wasn’t really an option.\n\n“Deep learning has been around since the late ’80s,” he says, “but we simply didn't have enough computational power to run big experiments on complex images. You have to look to 2008, 2009, when good GPUs began coming out. Then, people in computer vision had to learn how to code up these GPUs. There were no special software tools at the time, so people were just handcrafting software.\n\n“Another factor is the emergence of vast, well-annotated datasets of images, which came about in 2005 to 2010. That was the result of a couple of things. One was the Internet: all of a sudden there were tons of images available. The other thing is Amazon Mechanical Turk, which came out in 2005, and without which we would not be able to have these very large annotated datasets. It's funny, because within Amazon, people are not so aware of it, but Amazon Mechanical Turk was one of the three big factors for the AI revolution to come about. Datasets like ImageNet and COCO would not have been possible without it.”\n\n#### **Unscaled heights**\n\nFor all of deep learning’s successes on such canonical computer vision tasks as object recognition, there are some respects in which it has made little headway, Perona says.\n\n“One barrier is the efficiency of learning,” he says. “There was a paper from my team looking at classification of plants and animals. If you have 10,000 images per category — each species of bird or species of butterfly — then the machine will beat a human in accuracy. But the efficiency is not even close. If I give you a new species you have never seen before, and I show you three to five pictures of this new species, you become competent at recognizing that species. For a machine that would not be possible.” \n\n#### **More on Amazon at CVPR**\n\n[Read more](https://www.amazon.science/conferences-and-events/cvpr-2021) about Amazon's presence at CVPR, including papers, workshop involvement, and committee membership.\n\nOne reason to try to break this barrier is scientific, Perona says. “Humans don't own a special kind of computation,” he says. “So it should be possible for machines to do it. You want to understand this exquisite ability that humans have, how it works.”\n\nBut, he adds, there are also practical reasons to worry about learning efficiency.\n\n“If you think of people who are trying to use machine vision in industry or in science, something that is frequent is often not so important,” Perona explains. “What is rare is more important. So if you think of building a machine that can help an ophthalmologist recognize retinal disease, let's suppose, there are some 10 or 20 diseases of the retina that doctors see all the time. So they have no problem. They don't need help from a machine. But then there are another about 600 diseases that they see fewer times. And some of those are seen just by a few doctors per year. \n\n#### **“It's funny, because within Amazon, people are not so aware of it, but Amazon Mechanical Turk was one of the three big factors for the AI revolution to come about.\"**\n\n“The world is a long-tailed distribution. A few things are very frequent, and most things are not frequent at all. How often do you see an elephant cross the road? But if you want to build autonomous vehicles, they should be able to handle elephants crossing the road.”\n\nAnother aspect of human visual reasoning that deep learning has struggled to duplicate is the capacity for abstraction, Perona says.\n\n“Right now, we need to train machines with diverse backgrounds,” he says. “If you want to train a machine to recognize toads, you've got to show it pictures of toads in all possible environments and all possible poses for the machine to be able to abstract away the concept of toad. If you had trained the machine with pictures of toads always against the same piece of wallpaper or the same blank background, the machine would not be able to handle the toad in a new scenario. Or take a cow on the beach: machines have a terrible time recognizing a cow that is right in the middle of a picture, and it's on the beach. So we know that machines are not yet seeing objects the same way we see them. From the training examples, they are not able to abstract away the attributes of these objects. What is the face of the cow? And relating the face of the cow with the face of a dog and the face of a person — the machine is not yet able to do that.”\n\n#### **Self-supervised learning**\n\nBefore machines’ learning efficiency and capacity for abstraction can rival humans’, Perona says, “new insights are needed”. But in the near term, progress on both fronts could come from self-supervised learning, a topic that has, he says, grown in popularity at CVPR in recent years.\n\n“Even if there is nobody teaching a machine what to look for, the machine can teach itself in some way and can be prepared to learn the next task,” Perona explains. “Let's suppose that we have a million images, for example, but no labels telling the machine what is in each picture. The machine has CPU cycles to spare, so what could it do? The images are all upside up, with the sky up and the ground down. But the machine could randomly flip a few and train itself to recognize when the image is flipped versus when the image is as it should be. Here’s another game you can play: each image is color, so there are three channels, RGB [red, green, blue]. So you could try and predict the green from the red and blue.\n\n“Now, it turns out that in order to win at these games, it will have to develop some sense for the key features in the image. And one crucial feature is that trees grow from the ground up in some way. And so it has to recognize the structure of trees or the structure of things that are planted in the ground to recognize what is on the ground and what is not. It doesn't have a high level of semantic knowledge, but it does develop some features that are good preparation for the next step.\n\n“To give you more advanced example, a student of mine and I have a paper showing how a machine can learn about numbers purely by playing with objects. Suppose that you had a few M&Ms, and you are just tossing them into a cup in front of you, and then you're picking one up and moving it away or putting one in or just scrambling the ones you have and rearranging them like a child would do. We demonstrate that the machine is able to learn the concept of number, an abstract concept, purely by playing with little objects, taking one out and putting one in, and so on. And it's quite interesting how that concept, that abstraction, can emerge from no supervision at all.”\n\n","render":"<p>The Conference on Computer Vision and Pattern Recognition (<a href=\\"https://www.amazon.science/conferences-and-events/cvpr-2021\\" target=\\"_blank\\">CVPR</a>) — the premier conference in the field of computer vision — was first held in 1985. <a href=\\"https://www.amazon.science/author/pietro-perona\\" target=\\"_blank\\">Pietro Perona</a>, an Amazon Fellow and the Allan E. Puckett Professor of Electrical Engineering and Computation and Neural Systems at the California Institute of Technology, first attended in 1988, when he was a graduate student at the University of California, Berkeley.</p>\\n<p>“At the time, computer vision was a field for visionaries — pun intended — where we wanted to solve the question of how we can make a machine see,” Perona says. “The whole conference was maybe 200 people. And we had basically no clear idea how to make progress and so would try different things, and we would try and see if we could split the complex problem of vision into simpler questions. And the results were not very good. Now we see in the conference great systems working really well on very difficult problems. So the level of success and ambition is completely different.”</p>\n<p><img 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\\" alt=\\"776020dc588f47a29f3c72fa630e04a5_image1.png\\" rel=\\"1\\" /></p>\n<p>Pietro Perona, an Amazon Fellow and the Allan E. Puckett Professor of Electrical Engineering and Computation and Neural Systems at Caltech.</p>\n<p>Much of that success stems, of course, from deep learning, which superseded many earlier computer vision techniques. But, Perona points out, it’s not as if computer vision researchers had simply failed to recognize the utility of deep learning for CVPR’s first 25 years. Until around 2010, he says, using deep learning to tackle computer vision problems wasn’t really an option.</p>\n<p>“Deep learning has been around since the late ’80s,” he says, “but we simply didn’t have enough computational power to run big experiments on complex images. You have to look to 2008, 2009, when good GPUs began coming out. Then, people in computer vision had to learn how to code up these GPUs. There were no special software tools at the time, so people were just handcrafting software.</p>\n<p>“Another factor is the emergence of vast, well-annotated datasets of images, which came about in 2005 to 2010. That was the result of a couple of things. One was the Internet: all of a sudden there were tons of images available. The other thing is Amazon Mechanical Turk, which came out in 2005, and without which we would not be able to have these very large annotated datasets. It’s funny, because within Amazon, people are not so aware of it, but Amazon Mechanical Turk was one of the three big factors for the AI revolution to come about. Datasets like ImageNet and COCO would not have been possible without it.”</p>\n<h4><a id=\\"Unscaled_heights_14\\"></a><strong>Unscaled heights</strong></h4>\\n<p>For all of deep learning’s successes on such canonical computer vision tasks as object recognition, there are some respects in which it has made little headway, Perona says.</p>\n<p>“One barrier is the efficiency of learning,” he says. “There was a paper from my team looking at classification of plants and animals. If you have 10,000 images per category — each species of bird or species of butterfly — then the machine will beat a human in accuracy. But the efficiency is not even close. If I give you a new species you have never seen before, and I show you three to five pictures of this new species, you become competent at recognizing that species. For a machine that would not be possible.”</p>\n<h4><a id=\\"More_on_Amazon_at_CVPR_20\\"></a><strong>More on Amazon at CVPR</strong></h4>\\n<p><a href=\\"https://www.amazon.science/conferences-and-events/cvpr-2021\\" target=\\"_blank\\">Read more</a> about Amazon’s presence at CVPR, including papers, workshop involvement, and committee membership.</p>\\n<p>One reason to try to break this barrier is scientific, Perona says. “Humans don’t own a special kind of computation,” he says. “So it should be possible for machines to do it. You want to understand this exquisite ability that humans have, how it works.”</p>\n<p>But, he adds, there are also practical reasons to worry about learning efficiency.</p>\n<p>“If you think of people who are trying to use machine vision in industry or in science, something that is frequent is often not so important,” Perona explains. “What is rare is more important. So if you think of building a machine that can help an ophthalmologist recognize retinal disease, let’s suppose, there are some 10 or 20 diseases of the retina that doctors see all the time. So they have no problem. They don’t need help from a machine. But then there are another about 600 diseases that they see fewer times. And some of those are seen just by a few doctors per year.</p>\n<h4><a id=\\"Its_funny_because_within_Amazon_people_are_not_so_aware_of_it_but_Amazon_Mechanical_Turk_was_one_of_the_three_big_factors_for_the_AI_revolution_to_come_about_30\\"></a><strong>“It’s funny, because within Amazon, people are not so aware of it, but Amazon Mechanical Turk was one of the three big factors for the AI revolution to come about.&quot;</strong></h4>\\n<p>“The world is a long-tailed distribution. A few things are very frequent, and most things are not frequent at all. How often do you see an elephant cross the road? But if you want to build autonomous vehicles, they should be able to handle elephants crossing the road.”</p>\n<p>Another aspect of human visual reasoning that deep learning has struggled to duplicate is the capacity for abstraction, Perona says.</p>\n<p>“Right now, we need to train machines with diverse backgrounds,” he says. “If you want to train a machine to recognize toads, you’ve got to show it pictures of toads in all possible environments and all possible poses for the machine to be able to abstract away the concept of toad. If you had trained the machine with pictures of toads always against the same piece of wallpaper or the same blank background, the machine would not be able to handle the toad in a new scenario. Or take a cow on the beach: machines have a terrible time recognizing a cow that is right in the middle of a picture, and it’s on the beach. So we know that machines are not yet seeing objects the same way we see them. From the training examples, they are not able to abstract away the attributes of these objects. What is the face of the cow? And relating the face of the cow with the face of a dog and the face of a person — the machine is not yet able to do that.”</p>\n<h4><a id=\\"Selfsupervised_learning_38\\"></a><strong>Self-supervised learning</strong></h4>\\n<p>Before machines’ learning efficiency and capacity for abstraction can rival humans’, Perona says, “new insights are needed”. But in the near term, progress on both fronts could come from self-supervised learning, a topic that has, he says, grown in popularity at CVPR in recent years.</p>\n<p>“Even if there is nobody teaching a machine what to look for, the machine can teach itself in some way and can be prepared to learn the next task,” Perona explains. “Let’s suppose that we have a million images, for example, but no labels telling the machine what is in each picture. The machine has CPU cycles to spare, so what could it do? The images are all upside up, with the sky up and the ground down. But the machine could randomly flip a few and train itself to recognize when the image is flipped versus when the image is as it should be. Here’s another game you can play: each image is color, so there are three channels, RGB [red, green, blue]. So you could try and predict the green from the red and blue.</p>\n<p>“Now, it turns out that in order to win at these games, it will have to develop some sense for the key features in the image. And one crucial feature is that trees grow from the ground up in some way. And so it has to recognize the structure of trees or the structure of things that are planted in the ground to recognize what is on the ground and what is not. It doesn’t have a high level of semantic knowledge, but it does develop some features that are good preparation for the next step.</p>\n<p>“To give you more advanced example, a student of mine and I have a paper showing how a machine can learn about numbers purely by playing with objects. Suppose that you had a few M&amp;Ms, and you are just tossing them into a cup in front of you, and then you’re picking one up and moving it away or putting one in or just scrambling the ones you have and rearranging them like a child would do. We demonstrate that the machine is able to learn the concept of number, an abstract concept, purely by playing with little objects, taking one out and putting one in, and so on. And it’s quite interesting how that concept, that abstraction, can emerge from no supervision at all.”</p>\n"}
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