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11/19/2022
Rethinking Batch Sample Relationships for Data Representation: A Batch-Graph Transformer based Approach
Exploring sample relationships within each mini-batch has shown great po...
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08/26/2022
Few-Shot Learning Meets Transformer: Unified Query-Support Transformers for Few-Shot Classification
Few-shot classification which aims to recognize unseen classes using ver...
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12/02/2021
MTFNet: Mutual-Transformer Fusion Network for RGB-D Salient Object Detection
Salient object detection (SOD) on RGB-D images is an active problem in c...
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11/24/2019
AttKGCN: Attribute Knowledge Graph Convolutional Network for Person Re-identification
Discriminative feature representation of person image is important for p...
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07/20/2019
PH-GCN: Person Re-identification with Part-based Hierarchical Graph Convolutional Network
The person re-identification (Re-ID) task requires to robustly extract f...
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07/14/2014
