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08/23/2023
EVE: Efficient Vision-Language Pre-training with Masked Prediction and Modality-Aware MoE
Building scalable vision-language models to learn from diverse, multimod...
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05/22/2022
TWEET-FID: An Annotated Dataset for Multiple Foodborne Illness Detection Tasks
Foodborne illness is a serious but preventable public health problem – w...
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02/18/2022
Surf or sleep? Understanding the influence of bedtime patterns on campus
Poor sleep habits may cause serious problems of mind and body, and it is...
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11/08/2021
Enhancing Prototypical Few-Shot Learning by Leveraging the Local-Level Strategy
Aiming at recognizing the samples from novel categories with few referen...
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10/26/2021
Plug-and-Play Few-shot Object Detection with Meta Strategy and Explicit Localization Inference
Aiming at recognizing and localizing the object of novel categories by a...
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05/03/2021
Metaphor Research in the 21st Century: A Bibliographic Analysis
Metaphor is widely used in human communication. The cohort of scholars s...
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04/08/2020
Transferable, Controllable, and Inconspicuous Adversarial Attacks on Person Re-identification With Deep Mis-Ranking
The success of DNNs has driven the extensive applications of person re-i...
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12/27/2019
Graduate Employment Prediction with Bias
The failure of landing a job for college students could cause serious so...
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12/05/2018
A Knowledge Graph Based Solution for Entity Discovery and Linking in Open-Domain Questions
Named entity discovery and linking is the fundamental and core component...
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06/30/2018
Cost-effective Object Detection: Active Sample Mining with Switchable Selection Criteria
Though quite challenging, the training of object detectors using large-s...
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03/27/2018
Towards Human-Machine Cooperation: Self-supervised Sample Mining for Object Detection
Though quite challenging, leveraging large-scale unlabeled or partially ...
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10/04/2017
Content-Adaptive Sketch Portrait Generation by Decompositional Representation Learning
Sketch portrait generation benefits a wide range of applications such as...
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03/16/2017
Look into Person: Self-supervised Structure-sensitive Learning and A New Benchmark for Human Parsing
Human parsing has recently attracted a lot of research interests due to ...
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01/13/2017
