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08/06/2023
Cal-SFDA: Source-Free Domain-adaptive Semantic Segmentation with Differentiable Expected Calibration Error
The prevalence of domain adaptive semantic segmentation has prompted con...
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07/16/2023
Revisiting Domain-Adaptive 3D Object Detection by Reliable, Diverse and Class-balanced Pseudo-Labeling
Unsupervised domain adaptation (DA) with the aid of pseudo labeling tech...
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07/16/2023
KECOR: Kernel Coding Rate Maximization for Active 3D Object Detection
Achieving a reliable LiDAR-based object detector in autonomous driving i...
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09/05/2022
Federated Zero-Shot Learning for Visual Recognition
Zero-shot learning is a learning regime that recognizes unseen classes b...
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07/11/2022
Discovering Domain Disentanglement for Generalized Multi-source Domain Adaptation
A typical multi-source domain adaptation (MSDA) approach aims to transfe...
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07/05/2022
GSMFlow: Generation Shifts Mitigating Flow for Generalized Zero-Shot Learning
Generalized Zero-Shot Learning (GZSL) aims to recognize images from both...
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02/13/2022
Source-Free Progressive Graph Learning for Open-Set Domain Adaptation
Open-set domain adaptation (OSDA) has gained considerable attention in m...
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09/08/2021
RoadAtlas: Intelligent Platform for Automated Road Defect Detection and Asset Management
With the rapid development of intelligent detection algorithms based on ...
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09/01/2021
Conditional Extreme Value Theory for Open Set Video Domain Adaptation
With the advent of media streaming, video action recognition has become ...
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08/26/2021
Learning to Diversify for Single Domain Generalization
Domain generalization (DG) aims to generalize a model trained on multipl...
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07/07/2021
Mitigating Generation Shifts for Generalized Zero-Shot Learning
Generalized Zero-Shot Learning (GZSL) is the task of leveraging semantic...
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02/23/2021
Enhanced Modality Transition for Image Captioning
Image captioning model is a cross-modality knowledge discovery task, whi...
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11/25/2020
Interpretable Signed Link Prediction with Signed Infomax Hyperbolic Graph
Signed link prediction in social networks aims to reveal the underlying ...
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07/31/2020
Adversarial Bipartite Graph Learning for Video Domain Adaptation
Domain adaptation techniques, which focus on adapting models between dis...
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06/22/2020
Progressive Graph Learning for Open-Set Domain Adaptation
Domain shift is a fundamental problem in visual recognition which typica...
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06/15/2020
ORD: Object Relationship Discovery for Visual Dialogue Generation
With the rapid advancement of image captioning and visual question answe...
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11/12/2019
Learning from the Past: Continual Meta-Learning via Bayesian Graph Modeling
Meta-learning for few-shot learning allows a machine to leverage previou...
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11/05/2019
Deep Collaborative Discrete Hashing with Semantic-Invariant Structure
Existing deep hashing approaches fail to fully explore semantic correlat...
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09/21/2019
CANZSL: Cycle-Consistent Adversarial Networks for Zero-Shot Learning from Natural Language
Existing methods using generative adversarial approaches for Zero-Shot L...
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08/01/2019
Curiosity-driven Reinforcement Learning for Diverse Visual Paragraph Generation
Visual paragraph generation aims to automatically describe a given image...
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04/05/2019
Snap and Find: Deep Discrete Cross-domain Garment Image Retrieval
With the increasing number of online stores, there is a pressing need fo...
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09/25/2018
Collaborative Learning for Extremely Low Bit Asymmetric Hashing
Extremely low bit (e.g., 4-bit) hashing is in high demand for retrieval ...
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08/22/2018
Coarse-to-Fine Annotation Enrichment for Semantic Segmentation Learning
Rich high-quality annotated data is critical for semantic segmentation l...
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12/06/2016
Binary Subspace Coding for Query-by-Image Video Retrieval
The query-by-image video retrieval (QBIVR) task has been attracting cons...
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06/16/2016
