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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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07/20/2022
On Label Granularity and Object Localization
Weakly supervised object localization (WSOL) aims to learn representatio...
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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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06/18/2021
Bridging the Gap Between Object Detection and User Intent via Query-Modulation
When interacting with objects through cameras, or pictures, users often ...
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05/07/2021
BasisNet: Two-stage Model Synthesis for Efficient Inference
In this work, we present BasisNet which combines recent advancements in ...
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01/04/2021
SpotPatch: Parameter-Efficient Transfer Learning for Mobile Object Detection
Deep learning based object detectors are commonly deployed on mobile dev...
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12/10/2020
Large-Scale Generative Data-Free Distillation
Knowledge distillation is one of the most popular and effective techniqu...
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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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09/07/2019
Non-discriminative data or weak model? On the relative importance of data and model resolution
We explore the question of how the resolution of the input image ("input...
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06/12/2019
Visual Wake Words Dataset
The emergence of Internet of Things (IoT) applications requires intellig...
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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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04/15/2019
Low-Power Computer Vision: Status, Challenges, Opportunities
Computer vision has achieved impressive progress in recent years. Meanwh...
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10/25/2018
K For The Price Of 1: Parameter Efficient Multi-task And Transfer Learning
We introduce a novel method that enables parameter-efficient transfer an...
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10/03/2018
2018 Low-Power Image Recognition Challenge
The Low-Power Image Recognition Challenge (LPIRC, https://rebootingcompu...
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06/16/2018
Large Scale Fine-Grained Categorization and Domain-Specific Transfer Learning
Transferring the knowledge learned from large scale datasets (e.g., Imag...
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04/09/2018
NetAdapt: Platform-Aware Neural Network Adaptation for Mobile Applications
This work proposes an automated algorithm, called NetAdapt, that adapts ...
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01/13/2018
Inverted Residuals and Linear Bottlenecks: Mobile Networks for Classification, Detection and Segmentation
In this paper we describe a new mobile architecture, MobileNetV2, that i...
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01/13/2018
Inverted Residuals and Linear Bottlenecks: Mobile Networks forClassification, Detection and Segmentation
In this paper we describe a new mobile architecture, MobileNetV2, that i...
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12/15/2017
Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference
The rising popularity of intelligent mobile devices and the daunting com...
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11/20/2015
The Unreasonable Effectiveness of Noisy Data for Fine-Grained Recognition
Current approaches for fine-grained recognition do the following: First,...
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07/11/2012
