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09/16/2023
Delving into Multimodal Prompting for Fine-grained Visual Classification
Fine-grained visual classification (FGVC) involves categorizing fine sub...
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08/02/2023
Training-Free Instance Segmentation from Semantic Image Segmentation Masks
In recent years, the development of instance segmentation has garnered s...
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04/10/2023
Exploring Effective Factors for Improving Visual In-Context Learning
The In-Context Learning (ICL) is to understand a new task via a few demo...
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10/19/2022
Asymmetric Distillation Post-Segmentation Method for Image Anomaly Detection
Knowledge distillation-based anomaly detection methods generate same out...
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09/26/2022
Visual Anomaly Detection Via Partition Memory Bank Module and Error Estimation
Reconstruction method based on the memory module for visual anomaly dete...
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09/26/2022
Self-Supervised Guided Segmentation Framework for Unsupervised Anomaly Detection
Unsupervised anomaly detection is a challenging task in industrial appli...
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07/18/2022
Entity-enhanced Adaptive Reconstruction Network for Weakly Supervised Referring Expression Grounding
Weakly supervised Referring Expression Grounding (REG) aims to ground a ...
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06/13/2022
Singular Value Fine-tuning: Few-shot Segmentation requires Few-parameters Fine-tuning
Freezing the pre-trained backbone has become a standard paradigm to avoi...
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11/05/2021
SSA: Semantic Structure Aware Inference for Weakly Pixel-Wise Dense Predictions without Cost
The pixel-wise dense prediction tasks based on weakly supervisions curre...
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04/20/2021
CTNet: Context-based Tandem Network for Semantic Segmentation
Contextual information has been shown to be powerful for semantic segmen...
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08/07/2020
NuI-Go: Recursive Non-Local Encoder-Decoder Network for Retinal Image Non-Uniform Illumination Removal
Retinal images have been widely used by clinicians for early diagnosis o...
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08/06/2020
Data-driven Meta-set Based Fine-Grained Visual Classification
Constructing fine-grained image datasets typically requires domain-speci...
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07/18/2020
Face Super-Resolution Guided by 3D Facial Priors
State-of-the-art face super-resolution methods employ deep convolutional...
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01/09/2019
Deep Semantic Multimodal Hashing Network for Scalable Multimedia Retrieval
Hashing has been widely applied to multimodal retrieval on large-scale m...
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05/14/2018
Learning Dual Convolutional Neural Networks for Low-Level Vision
In this paper, we propose a general dual convolutional neural network (D...
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05/07/2018
Deep Ordinal Hashing with Spatial Attention
Hashing has attracted increasing research attentions in recent years due...
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04/12/2018
Social Anchor-Unit Graph Regularized Tensor Completion for Large-Scale Image Retagging
Image retagging aims to improve tag quality of social images by refining...
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02/28/2018
Hardware-Efficient Guided Image Filtering For Multi-Label Problem
The Guided Filter (GF) is well-known for its linear complexity. However,...
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06/14/2017
Modeling Multimodal Clues in a Hybrid Deep Learning Framework for Video Classification
Videos are inherently multimodal. This paper studies the problem of how ...
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06/04/2017
Personalized Age Progression with Bi-level Aging Dictionary Learning
Age progression is defined as aesthetically re-rendering the aging face ...
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06/03/2017
