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03/22/2023
Dense Network Expansion for Class Incremental Learning
The problem of class incremental learning (CIL) is considered. State-of-...
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07/07/2022
Should All Proposals be Treated Equally in Object Detection?
The complexity-precision trade-off of an object detector is a critical p...
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08/12/2021
MicroNet: Improving Image Recognition with Extremely Low FLOPs
This paper aims at addressing the problem of substantial performance deg...
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03/19/2021
Dynamic Transfer for Multi-Source Domain Adaptation
Recent works of multi-source domain adaptation focus on learning a domai...
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03/15/2021
Revisiting Dynamic Convolution via Matrix Decomposition
Recent research in dynamic convolution shows substantial performance boo...
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11/24/2020
MicroNet: Towards Image Recognition with Extremely Low FLOPs
In this paper, we present MicroNet, which is an efficient convolutional ...
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07/27/2020
Deep Hashing with Hash-Consistent Large Margin Proxy Embeddings
Image hash codes are produced by binarizing the embeddings of convolutio...
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03/20/2020
Explainable Object-induced Action Decision for Autonomous Vehicles
A new paradigm is proposed for autonomous driving. The new paradigm lies...
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06/24/2019
Efficient Multi-Domain Network Learning by Covariance Normalization
The problem of multi-domain learning of deep networks is considered. An ...
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05/27/2019
Semantic Fisher Scores for Task Transfer: Using Objects to Classify Scenes
The transfer of a neural network (CNN) trained to recognize objects to t...
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04/24/2019