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07/29/2023
Instance-Wise Adaptive Tuning and Caching for Vision-Language Models
Large-scale vision-language models (LVLMs) pretrained on massive image-t...
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01/26/2023
Towards Continual Egocentric Activity Recognition: A Multi-modal Egocentric Activity Dataset for Continual Learning
With the rapid development of wearable cameras, a massive collection of ...
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09/15/2022
Forgetting to Remember: A Scalable Incremental Learning Framework for Cross-Task Blind Image Quality Assessment
Recent years have witnessed the great success of blind image quality ass...
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06/16/2022
RefCrowd: Grounding the Target in Crowd with Referring Expressions
Crowd understanding has aroused the widespread interest in vision domain...
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04/05/2021
Non-Homogeneous Haze Removal via Artificial Scene Prior and Bidimensional Graph Reasoning
Due to the lack of natural scene and haze prior information, it is great...
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10/14/2019
A New Local Transformation Module for Few-shot Segmentation
Few-shot segmentation segments object regions of new classes with a few ...
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09/21/2019
Class Activation Map generation by Multiple Level Class Grouping and Orthogonal Constraint
Class activation map (CAM) highlights regions of classes based on classi...
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09/19/2019
A New Few-shot Segmentation Network Based on Class Representation
This paper studies few-shot segmentation, which is a task of predicting ...
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01/23/2019
Class Activation Map Generation by Representative Class Selection and Multi-Layer Feature Fusion
Existing method generates class activation map (CAM) by a set of fixed c...
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01/10/2019
Hierarchy Neighborhood Discriminative Hashing for An Unified View of Single-Label and Multi-Label Image retrieval
Recently, deep supervised hashing methods have become popular for large-...
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05/15/2017
A Perceptually Weighted Rank Correlation Indicator for Objective Image Quality Assessment
In the field of objective image quality assessment (IQA), the Spearman's...
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02/03/2015