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06/02/2023
Towards In-context Scene Understanding
In-context learningx2013the ability to configure a model's behavior with...
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03/23/2023
Three ways to improve feature alignment for open vocabulary detection
The core problem in zero-shot open vocabulary detection is how to align ...
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10/12/2022
Self-supervised video pretraining yields strong image representations
Videos contain far more information than still images and hold the poten...
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03/16/2022
Object discovery and representation networks
The promise of self-supervised learning (SSL) is to leverage large amoun...
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05/17/2021
Divide and Contrast: Self-supervised Learning from Uncurated Data
Self-supervised learning holds promise in leveraging large amounts of un...
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03/19/2021
Efficient Visual Pretraining with Contrastive Detection
Self-supervised pretraining has been shown to yield powerful representat...
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06/12/2020
Are we done with ImageNet?
Yes, and no. We ask whether recent progress on the ImageNet classificati...
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05/22/2019
Data-Efficient Image Recognition with Contrastive Predictive Coding
Large scale deep learning excels when labeled images are abundant, yet d...
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12/20/2014
