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08/17/2023
Learning Lightweight Object Detectors via Multi-Teacher Progressive Distillation
Resource-constrained perception systems such as edge computing and visio...
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05/04/2023
Contrastive Mean Teacher for Domain Adaptive Object Detectors
Object detectors often suffer from the domain gap between training (sour...
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05/13/2021
Neighborhood-Aware Neural Architecture Search
Existing neural architecture search (NAS) methods often return an archit...
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03/07/2021
Efficient Model Performance Estimation via Feature Histories
An important step in the task of neural network design, such as hyper-pa...
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11/21/2020
Rethinking Transformer-based Set Prediction for Object Detection
DETR is a recently proposed Transformer-based method which views object ...
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02/01/2019