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05/25/2023
Camera-Incremental Object Re-Identification with Identity Knowledge Evolution
Object Re-identification (ReID) aims to retrieve the probe object from m...
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12/09/2021
Dual Cluster Contrastive learning for Person Re-Identification
Recently, cluster contrastive learning has been proven effective for per...
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05/31/2020
Attribute-Induced Bias Eliminating for Transductive Zero-Shot Learning
Transductive Zero-shot learning (ZSL) targets to recognize the unseen ca...
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05/30/2020
Joint Person Objectness and Repulsion for Person Search
Person search targets to search the probe person from the unconstrainted...
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03/30/2020
Multi-Objective Matrix Normalization for Fine-grained Visual Recognition
Bilinear pooling achieves great success in fine-grained visual recogniti...
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03/30/2020
Domain-aware Visual Bias Eliminating for Generalized Zero-Shot Learning
Recent methods focus on learning a unified semantic-aligned visual repre...
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08/12/2019
Domain-Specific Embedding Network for Zero-Shot Recognition
Zero-Shot Learning (ZSL) seeks to recognize a sample from either seen or...
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09/13/2017
GLAD: Global-Local-Alignment Descriptor for Pedestrian Retrieval
The huge variance of human pose and the misalignment of detected human i...
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07/04/2017
One-Shot Fine-Grained Instance Retrieval
Fine-Grained Visual Categorization (FGVC) has achieved significant progr...
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07/04/2017