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04/05/2023
Towards Self-Explainability of Deep Neural Networks with Heatmap Captioning and Large-Language Models
Heatmaps are widely used to interpret deep neural networks, particularly...
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07/05/2022
SESS: Saliency Enhancing with Scaling and Sliding
High-quality saliency maps are essential in several machine learning app...
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04/15/2021
Learning Regional Attention over Multi-resolution Deep Convolutional Features for Trademark Retrieval
Large-scale trademark retrieval is an important content-based image retr...
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02/08/2021
An Efficient Framework for Zero-Shot Sketch-Based Image Retrieval
Recently, Zero-shot Sketch-based Image Retrieval (ZS-SBIR) has attracted...
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02/05/2020
Enhancing Feature Invariance with Learned Image Transformations for Image Retrieval
Off-the-shelf convolutional neural network features achieve state-of-the...
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12/16/2019
MTRNet++: One-stage Mask-based Scene Text Eraser
A precise, controllable, interpretable and easily trainable text removal...
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03/11/2019
MTRNet: A Generic Scene Text Eraser
Text removal algorithms have been proposed for uni-lingual scripts with ...
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11/07/2018
Component-based Attention for Large-scale Trademark Retrieval
The demand for large-scale trademark retrieval (TR) systems has signific...
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01/20/2017
