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08/29/2023
Serving MoE Models on Resource-constrained Edge Devices via Dynamic Expert Swapping
Mixture of experts (MoE) is a popular technique in deep learning that im...
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06/29/2023
ReMaX: Relaxing for Better Training on Efficient Panoptic Segmentation
This paper presents a new mechanism to facilitate the training of mask t...
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01/20/2023
AccDecoder: Accelerated Decoding for Neural-enhanced Video Analytics
The quality of the video stream is key to neural network-based video ana...
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12/22/2021
MOSAIC: Mobile Segmentation via decoding Aggregated Information and encoded Context
We present a next-generation neural network architecture, MOSAIC, for ef...
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08/18/2020
Discovering Multi-Hardware Mobile Models via Architecture Search
Developing efficient models for mobile phones or other on-device deploym...
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07/14/2019
FoodX-251: A Dataset for Fine-grained Food Classification
Food classification is a challenging problem due to the large number of ...
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06/04/2019
Geo-Aware Networks for Fine Grained Recognition
Fine grained recognition distinguishes among categories with subtle visu...
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05/06/2019
Searching for MobileNetV3
We present the next generation of MobileNets based on a combination of c...
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04/17/2017