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09/11/2023
Zero-Shot Co-salient Object Detection Framework
Co-salient Object Detection (CoSOD) endeavors to replicate the human vis...
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08/01/2023
Boundary Difference Over Union Loss For Medical Image Segmentation
Medical image segmentation is crucial for clinical diagnosis. However, c...
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06/29/2023
Detect Any Deepfakes: Segment Anything Meets Face Forgery Detection and Localization
The rapid advancements in computer vision have stimulated remarkable pro...
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06/20/2023
Comparative Evaluation of Recent Universal Adversarial Perturbations in Image Classification
The vulnerability of Convolutional Neural Networks (CNNs) to adversarial...
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05/02/2023
Boosting Adversarial Transferability via Fusing Logits of Top-1 Decomposed Feature
Recent research has shown that Deep Neural Networks (DNNs) are highly vu...
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03/07/2023
Logit Margin Matters: Improving Transferable Targeted Adversarial Attack by Logit Calibration
Previous works have extensively studied the transferability of adversari...
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03/05/2022
Federated and Generalized Person Re-identification through Domain and Feature Hallucinating
In this paper, we study the problem of federated domain generalization (...
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03/03/2022
Cross-Modality Earth Mover's Distance for Visible Thermal Person Re-Identification
Visible thermal person re-identification (VT-ReID) suffers from the inte...
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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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06/07/2021
Source-Free Open Compound Domain Adaptation in Semantic Segmentation
In this work, we introduce a new concept, named source-free open compoun...
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03/08/2021
Joint Noise-Tolerant Learning and Meta Camera Shift Adaptation for Unsupervised Person Re-Identification
This paper considers the problem of unsupervised person re-identificatio...
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12/01/2020
Learning to Generalize Unseen Domains via Memory-based Multi-Source Meta-Learning for Person Re-Identification
Recent advances in person re-identification (ReID) obtain impressive acc...
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04/12/2020
OpenMix: Reviving Known Knowledge for Discovering Novel Visual Categories in An Open World
In this paper, we tackle the problem of discovering new classes in unlab...
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12/03/2019
Asymmetric Co-Teaching for Unsupervised Cross Domain Person Re-Identification
Person re-identification (re-ID), is a challenging task due to the high ...
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08/01/2019
Learning to Adapt Invariance in Memory for Person Re-identification
This work considers the problem of unsupervised domain adaptation in per...
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04/03/2019
Invariance Matters: Exemplar Memory for Domain Adaptive Person Re-identification
This paper considers the domain adaptive person re-identification (re-ID...
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11/05/2018
Leveraging Virtual and Real Person for Unsupervised Person Re-identification
Person re-identification (re-ID) is a challenging problem especially whe...
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05/24/2017