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07/14/2023
Improving Zero-Shot Generalization for CLIP with Synthesized Prompts
With the growing interest in pretrained vision-language models like CLIP...
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03/27/2023
SimpleNet: A Simple Network for Image Anomaly Detection and Localization
We propose a simple and application-friendly network (called SimpleNet) ...
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03/19/2023
AdaptGuard: Defending Against Universal Attacks for Model Adaptation
Model adaptation aims at solving the domain transfer problem under the c...
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03/17/2023
Exploiting Semantic Attributes for Transductive Zero-Shot Learning
Zero-shot learning (ZSL) aims to recognize unseen classes by generalizin...
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01/10/2023
Video Semantic Segmentation with Inter-Frame Feature Fusion and Inner-Frame Feature Refinement
Video semantic segmentation aims to generate accurate semantic maps for ...
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08/12/2022
Exploring High-quality Target Domain Information for Unsupervised Domain Adaptive Semantic Segmentation
In unsupervised domain adaptive (UDA) semantic segmentation, the distill...
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07/20/2022
Collaborating Domain-shared and Target-specific Feature Clustering for Cross-domain 3D Action Recognition
In this work, we consider the problem of cross-domain 3D action recognit...
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06/14/2022
Disentangled Federated Learning for Tackling Attributes Skew via Invariant Aggregation and Diversity Transferring
Attributes skew hinders the current federated learning (FL) frameworks f...
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05/01/2022
Convex Combination Consistency between Neighbors for Weakly-supervised Action Localization
In weakly-supervised temporal action localization (WS-TAL), the methods ...
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02/06/2022
Low-confidence Samples Matter for Domain Adaptation
Domain adaptation (DA) aims to transfer knowledge from a label-rich sour...
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12/13/2021
5th Place Solution for VSPW 2021 Challenge
In this article, we introduce the solution we used in the VSPW 2021 Chal...
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11/11/2021
Semantic-aware Representation Learning Via Probability Contrastive Loss
Recent feature contrastive learning (FCL) has shown promising performanc...
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05/25/2021
Few-Shot Learning with Part Discovery and Augmentation from Unlabeled Images
Few-shot learning is a challenging task since only few instances are giv...
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06/18/2020
Video Semantic Segmentation with Distortion-Aware Feature Correction
Video semantic segmentation is active in recent years benefited from the...
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12/10/2019
Pillar in Pillar: Multi-Scale and Dynamic Feature Extraction for 3D Object Detection in Point Clouds
Sparsity and varied density are two of the main obstacles for 3D detecti...
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10/10/2019
Adaptive and Azimuth-Aware Fusion Network of Multimodal Local Features for 3D Object Detection
This paper focuses on the construction of stronger local features and th...
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03/03/2019