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06/15/2023
Graph Convolution Based Efficient Re-Ranking for Visual Retrieval
Visual retrieval tasks such as image retrieval and person re-identificat...
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06/07/2023
Youku-mPLUG: A 10 Million Large-scale Chinese Video-Language Dataset for Pre-training and Benchmarks
To promote the development of Vision-Language Pre-training (VLP) and mul...
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04/16/2023
ChatPLUG: Open-Domain Generative Dialogue System with Internet-Augmented Instruction Tuning for Digital Human
In this paper, we present ChatPLUG, a Chinese open-domain dialogue syste...
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04/04/2023
Improved Visual Fine-tuning with Natural Language Supervision
Fine-tuning a pre-trained model can leverage the semantic information fr...
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02/01/2023
mPLUG-2: A Modularized Multi-modal Foundation Model Across Text, Image and Video
Recent years have witnessed a big convergence of language, vision, and m...
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12/30/2022
HiTeA: Hierarchical Temporal-Aware Video-Language Pre-training
Video-language pre-training has advanced the performance of various down...
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08/02/2022
Implicit Semantic Augmentation for Distance Metric Learning in Domain Generalization
Domain generalization (DG) aims to learn a model on one or more differen...
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04/05/2022
RBGNet: Ray-based Grouping for 3D Object Detection
As a fundamental problem in computer vision, 3D object detection is expe...
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02/23/2022
Reconstruction Task Finds Universal Winning Tickets
Pruning well-trained neural networks is effective to achieve a promising...
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03/21/2021
Instant-Teaching: An End-to-End Semi-Supervised Object Detection Framework
Supervised learning based object detection frameworks demand plenty of l...
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09/30/2020
Efficient Kernel Transfer in Knowledge Distillation
Knowledge distillation is an effective way for model compression in deep...
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09/10/2020
Semi-Anchored Detector for One-Stage Object Detection
A standard one-stage detector is comprised of two tasks: classification ...
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11/11/2019
Hierarchically Robust Representation Learning
With the tremendous success of deep learning in visual tasks, the repres...
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09/11/2019
SoftTriple Loss: Deep Metric Learning Without Triplet Sampling
Distance metric learning (DML) is to learn the embeddings where examples...
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07/23/2019
DR Loss: Improving Object Detection by Distributional Ranking
Most of object detection algorithms can be categorized into two classes:...
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06/03/2019
Robust Gaussian Process Regression for Real-Time High Precision GPS Signal Enhancement
Satellite-based positioning system such as GPS often suffers from large ...
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01/30/2019
Which Factorization Machine Modeling is Better: A Theoretical Answer with Optimal Guarantee
Factorization machine (FM) is a popular machine learning model to captur...
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05/25/2018
Large-scale Distance Metric Learning with Uncertainty
Distance metric learning (DML) has been studied extensively in the past ...
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05/19/2018
Robust Optimization over Multiple Domains
Recently, machine learning becomes important for the cloud computing ser...
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02/03/2014