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11/15/2022
Explaining Cross-Domain Recognition with Interpretable Deep Classifier
The recent advances in deep learning predominantly construct models in t...
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07/27/2022
Lightweight and Progressively-Scalable Networks for Semantic Segmentation
Multi-scale learning frameworks have been regarded as a capable class of...
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06/13/2022
Silver-Bullet-3D at ManiSkill 2021: Learning-from-Demonstrations and Heuristic Rule-based Methods for Object Manipulation
This paper presents an overview and comparative analysis of our systems ...
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01/11/2022
Motion-Focused Contrastive Learning of Video Representations
Motion, as the most distinct phenomenon in a video to involve the change...
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08/03/2020
SeCo: Exploring Sequence Supervision for Unsupervised Representation Learning
A steady momentum of innovations and breakthroughs has convincingly push...
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06/11/2020
Transferring and Regularizing Prediction for Semantic Segmentation
Semantic segmentation often requires a large set of images with pixel-le...
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03/15/2020
Night-time Semantic Segmentation with a Large Real Dataset
Although huge progress has been made on semantic segmentation in recent ...
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09/23/2019
Scheduled Differentiable Architecture Search for Visual Recognition
Convolutional Neural Networks (CNN) have been regarded as a capable clas...
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08/26/2019
Customizable Architecture Search for Semantic Segmentation
In this paper, we propose a Customizable Architecture Search (CAS) appro...
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04/23/2018
Fully Convolutional Adaptation Networks for Semantic Segmentation
The recent advances in deep neural networks have convincingly demonstrat...
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03/12/2018
