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03/03/2023
Prompt, Generate, then Cache: Cascade of Foundation Models makes Strong Few-shot Learners
Visual recognition in low-data regimes requires deep neural networks to ...
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12/15/2022
Proposal Distribution Calibration for Few-Shot Object Detection
Adapting object detectors learned with sufficient supervision to novel c...
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09/25/2022
Collaboration of Pre-trained Models Makes Better Few-shot Learner
Few-shot classification requires deep neural networks to learn generaliz...
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03/08/2021
Beyond Max-Margin: Class Margin Equilibrium for Few-shot Object Detection
Few-shot object detection has made substantial progressby representing n...
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08/10/2020
Prototype Mixture Models for Few-shot Semantic Segmentation
Few-shot segmentation is challenging because objects within the support ...
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06/25/2019
