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Closing the Generalization Gap in One-Shot Object Detection
Despite substantial progress in object detection and few-shot learning, ...
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Unmasking the Inductive Biases of Unsupervised Object Representations for Video Sequences
Perceiving the world in terms of objects is a crucial prerequisite for r...
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Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Coming
The ability to detect objects regardless of image distortions or weather...
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One-Shot Instance Segmentation
We tackle one-shot visual search by example for arbitrary object categor...
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A rotation-equivariant convolutional neural network model of primary visual cortex
Classical models describe primary visual cortex (V1) as a filter bank of...
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Diverse feature visualizations reveal invariances in early layers of deep neural networks
Visualizing features in deep neural networks (DNNs) can help understandi...
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One-Shot Segmentation in Clutter
We tackle the problem of one-shot segmentation: finding and segmenting a...
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Neural system identification for large populations separating "what" and "where"
Neuroscientists classify neurons into different types that perform simil...
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Synthesising Dynamic Textures using Convolutional Neural Networks
Here we present a parametric model for dynamic textures. The model is ba...
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Controlling Perceptual Factors in Neural Style Transfer
Neural Style Transfer has shown very exciting results enabling new forms...
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A Neural Algorithm of Artistic Style
In fine art, especially painting, humans have mastered the skill to crea...
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Texture Synthesis Using Convolutional Neural Networks
Here we introduce a new model of natural textures based on the feature s...
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