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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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06/15/2023
Contrast, Stylize and Adapt: Unsupervised Contrastive Learning Framework for Domain Adaptive Semantic Segmentation
To overcome the domain gap between synthetic and real-world datasets, un...
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05/31/2023
RaSP: Relation-aware Semantic Prior for Weakly Supervised Incremental Segmentation
Class-incremental semantic image segmentation assumes multiple model upd...
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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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03/31/2023
One-shot Unsupervised Domain Adaptation with Personalized Diffusion Models
Adapting a segmentation model from a labeled source domain to a target d...
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03/28/2023
Large-scale Pre-trained Models are Surprisingly Strong in Incremental Novel Class Discovery
Discovering novel concepts from unlabelled data and in a continuous mann...
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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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10/04/2022
Cooperative Self-Training for Multi-Target Adaptive Semantic Segmentation
In this work we address multi-target domain adaptation (MTDA) in semanti...
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08/16/2022
Uncertainty-guided Source-free Domain Adaptation
Source-free domain adaptation (SFDA) aims to adapt a classifier to an un...
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07/18/2022
Class-incremental Novel Class Discovery
We study the new task of class-incremental Novel Class Discovery (class-...
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06/20/2021
Neighborhood Contrastive Learning for Novel Class Discovery
In this paper, we address Novel Class Discovery (NCD), the task of unvei...
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04/01/2021
Curriculum Graph Co-Teaching for Multi-Target Domain Adaptation
In this paper we address multi-target domain adaptation (MTDA), where gi...
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04/19/2020
TriGAN: Image-to-Image Translation for Multi-Source Domain Adaptation
Most domain adaptation methods consider the problem of transferring know...
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04/07/2020
Motion-supervised Co-Part Segmentation
Recent co-part segmentation methods mostly operate in a supervised learn...
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05/15/2019
Regularized Evolutionary Algorithm for Dynamic Neural Topology Search
Designing neural networks for object recognition requires considerable a...
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04/02/2019
Metric-Learning based Deep Hashing Network for Content Based Retrieval of Remote Sensing Images
Hashing methods have been recently found very effective in retrieval of ...
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03/07/2019
