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12/17/2020
Toward Transformer-Based Object Detection
Transformers have become the dominant model in natural language processi...
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03/31/2020
Revisiting Few-shot Activity Detection with Class Similarity Control
Many interesting events in the real world are rare making preannotated m...
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11/26/2019
Semantic Bottleneck Scene Generation
Coupling the high-fidelity generation capabilities of label-conditional ...
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09/26/2019
Unsupervised Domain Adaptation through Self-Supervision
This paper addresses unsupervised domain adaptation, the setting where l...
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08/05/2019
Learning a Unified Embedding for Visual Search at Pinterest
At Pinterest, we utilize image embeddings throughout our search and reco...
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12/03/2018
SPLAT: Semantic Pixel-Level Adaptation Transforms for Detection
Domain adaptation of visual detectors is a critical challenge, yet exist...
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11/08/2017
CyCADA: Cycle-Consistent Adversarial Domain Adaptation
Domain adaptation is critical for success in new, unseen environments. A...
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11/12/2015
Human Curation and Convnets: Powering Item-to-Item Recommendations on Pinterest
This paper presents Pinterest Related Pins, an item-to-item recommendati...
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10/08/2015
Simultaneous Deep Transfer Across Domains and Tasks
Recent reports suggest that a generic supervised deep CNN model trained ...
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12/10/2014
Deep Domain Confusion: Maximizing for Domain Invariance
Recent reports suggest that a generic supervised deep CNN model trained ...
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07/18/2014
LSDA: Large Scale Detection Through Adaptation
A major challenge in scaling object detection is the difficulty of obtai...
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12/21/2013
One-Shot Adaptation of Supervised Deep Convolutional Models
Dataset bias remains a significant barrier towards solving real world co...
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10/06/2013