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