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08/17/2023
The Unreasonable Effectiveness of Large Language-Vision Models for Source-free Video Domain Adaptation
Source-Free Video Unsupervised Domain Adaptation (SFVUDA) methods consis...
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05/09/2023
Rotation Synchronization via Deep Matrix Factorization
In this paper we address the rotation synchronization problem, where the...
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04/03/2023
AutoLabel: CLIP-based framework for Open-set Video Domain Adaptation
Open-set Unsupervised Video Domain Adaptation (OUVDA) deals with the tas...
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01/09/2023
Simplifying Open-Set Video Domain Adaptation with Contrastive Learning
In an effort to reduce annotation costs in action recognition, unsupervi...
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11/12/2022
Deep Unsupervised Key Frame Extraction for Efficient Video Classification
Video processing and analysis have become an urgent task since a huge am...
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03/26/2022
Uncertainty-aware Contrastive Distillation for Incremental Semantic Segmentation
A fundamental and challenging problem in deep learning is catastrophic f...
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02/01/2022
Continual Attentive Fusion for Incremental Learning in Semantic Segmentation
Over the past years, semantic segmentation, as many other tasks in compu...
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03/05/2021
Variational Structured Attention Networks for Deep Visual Representation Learning
Convolutional neural networks have enabled major progress in addressing ...
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01/25/2021
Curriculum Learning: A Survey
Training machine learning models in a meaningful order, from the easy sa...
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01/01/2020
Low-Budget Unsupervised Label Query through Domain Alignment Enforcement
Deep learning revolution happened thanks to the availability of a massiv...
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11/15/2019
Curriculum Self-Paced Learning for Cross-Domain Object Detection
Training (source) domain bias affects state-of-the-art object detectors,...
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10/02/2017
