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03/09/2023
SLCA: Slow Learner with Classifier Alignment for Continual Learning on a Pre-trained Model
The goal of continual learning is to improve the performance of recognit...
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05/06/2022
Continual Object Detection via Prototypical Task Correlation Guided Gating Mechanism
Continual learning is a challenging real-world problem for constructing ...
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08/07/2021
NASOA: Towards Faster Task-oriented Online Fine-tuning with a Zoo of Models
Fine-tuning from pre-trained ImageNet models has been a simple, effectiv...
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06/04/2021
Few-Shot Segmentation via Cycle-Consistent Transformer
Few-shot segmentation aims to train a segmentation model that can fast a...
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02/09/2021
Loss Function Discovery for Object Detection via Convergence-Simulation Driven Search
Designing proper loss functions for vision tasks has been a long-standin...
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10/30/2020
Auto-Panoptic: Cooperative Multi-Component Architecture Search for Panoptic Segmentation
Panoptic segmentation is posed as a new popular test-bed for the state-o...
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04/14/2020