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What leads to generalization of object proposals?
Object proposal generation is often the first step in many detection mod...
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Don't Judge an Object by Its Context: Learning to Overcome Contextual Bias
Existing models often leverage co-occurrences between objects and their ...
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Measuring Dataset Granularity
Despite the increasing visibility of fine-grained recognition in our fie...
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From Patches to Pictures (PaQ-2-PiQ): Mapping the Perceptual Space of Picture Quality
Blind or no-reference (NR) perceptual picture quality prediction is a di...
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ClusterFit: Improving Generalization of Visual Representations
Pre-training convolutional neural networks with weakly-supervised and se...
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Self-Supervised Learning by Cross-Modal Audio-Video Clustering
The visual and audio modalities are highly correlated yet they contain d...
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Scaling and Benchmarking Self-Supervised Visual Representation Learning
Self-supervised learning aims to learn representations from the data its...
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Large-scale weakly-supervised pre-training for video action recognition
Current fully-supervised video datasets consist of only a few hundred th...
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Billion-scale semi-supervised learning for image classification
This paper presents a study of semi-supervised learning with large convo...
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Activity Driven Weakly Supervised Object Detection
Weakly supervised object detection aims at reducing the amount of superv...
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Defense Against Adversarial Images using Web-Scale Nearest-Neighbor Search
A plethora of recent work has shown that convolutional networks are not ...
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Exploring the Limits of Weakly Supervised Pretraining
State-of-the-art visual perception models for a wide range of tasks rely...
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Distributed Newton Methods for Deep Neural Networks
Deep learning involves a difficult non-convex optimization problem with ...
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Efficient Estimation of Generalization Error and Bias-Variance Components of Ensembles
For many applications, an ensemble of base classifiers is an effective s...
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Towards Geo-Distributed Machine Learning
Latency to end-users and regulatory requirements push large companies to...
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