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07/18/2023
MOCA: Self-supervised Representation Learning by Predicting Masked Online Codebook Assignments
Self-supervised learning can be used for mitigating the greedy needs of ...
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01/24/2023
RangeViT: Towards Vision Transformers for 3D Semantic Segmentation in Autonomous Driving
Casting semantic segmentation of outdoor LiDAR point clouds as a 2D prob...
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07/25/2022
Active Learning Strategies for Weakly-supervised Object Detection
Object detectors trained with weak annotations are affordable alternativ...
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03/30/2022
Image-to-Lidar Self-Supervised Distillation for Autonomous Driving Data
Segmenting or detecting objects in sparse Lidar point clouds are two imp...
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03/23/2022
What to Hide from Your Students: Attention-Guided Masked Image Modeling
Transformers and masked language modeling are quickly being adopted and ...
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03/21/2022
Drive Segment: Unsupervised Semantic Segmentation of Urban Scenes via Cross-modal Distillation
This work investigates learning pixel-wise semantic image segmentation i...
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09/29/2021
Localizing Objects with Self-Supervised Transformers and no Labels
Localizing objects in image collections without supervision can help to ...
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12/21/2020
Online Bag-of-Visual-Words Generation for Unsupervised Representation Learning
Learning image representations without human supervision is an important...
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02/27/2020
Learning Representations by Predicting Bags of Visual Words
Self-supervised representation learning targets to learn convnet-based i...
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12/03/2019
QUEST: Quantized embedding space for transferring knowledge
Knowledge distillation refers to the process of training a compact stude...
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08/27/2019
Large-Scale Historical Watermark Recognition: dataset and a new consistency-based approach
Historical watermark recognition is a highly practical, yet unsolved cha...
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06/12/2019
Boosting Few-Shot Visual Learning with Self-Supervision
Few-shot learning and self-supervised learning address different facets ...
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05/03/2019
Generating Classification Weights with GNN Denoising Autoencoders for Few-Shot Learning
Given an initial recognition model already trained on a set of base clas...
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04/25/2018
Dynamic Few-Shot Visual Learning without Forgetting
The human visual system has the remarkably ability to be able to effortl...
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03/22/2018
PersonLab: Person Pose Estimation and Instance Segmentation with a Bottom-Up, Part-Based, Geometric Embedding Model
We present a box-free bottom-up approach for the tasks of pose estimatio...
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03/21/2018
Unsupervised Representation Learning by Predicting Image Rotations
Over the last years, deep convolutional neural networks (ConvNets) have ...
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12/14/2016
Detect, Replace, Refine: Deep Structured Prediction For Pixel Wise Labeling
Pixel wise image labeling is an interesting and challenging problem with...
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06/14/2016
Attend Refine Repeat: Active Box Proposal Generation via In-Out Localization
The problem of computing category agnostic bounding box proposals is uti...
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11/24/2015
LocNet: Improving Localization Accuracy for Object Detection
We propose a novel object localization methodology with the purpose of b...
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05/07/2015