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09/04/2023
Semantic-Constraint Matching Transformer for Weakly Supervised Object Localization
Weakly supervised object localization (WSOL) strives to learn to localiz...
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08/30/2023
Occlusion-Aware Detection and Re-ID Calibrated Network for Multi-Object Tracking
Multi-Object Tracking (MOT) is a crucial computer vision task that aims ...
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08/29/2023
AIoT-Based Drum Transcription Robot using Convolutional Neural Networks
With the development of information technology, robot technology has mad...
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08/26/2023
Improving Video Violence Recognition with Human Interaction Learning on 3D Skeleton Point Clouds
Deep learning has proved to be very effective in video action recognitio...
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09/30/2022
Dual Progressive Transformations for Weakly Supervised Semantic Segmentation
Weakly supervised semantic segmentation (WSSS), which aims to mine the o...
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03/09/2022
A Unified Transformer Framework for Group-based Segmentation: Co-Segmentation, Co-Saliency Detection and Video Salient Object Detection
Humans tend to mine objects by learning from a group of images or severa...
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03/02/2021
Context Decoupling Augmentation for Weakly Supervised Semantic Segmentation
Data augmentation is vital for deep learning neural networks. By providi...
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09/09/2020
