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e-CLIP: Large-Scale Vision-Language Representation Learning in E-commerce
Understanding vision and language representations of product content is vital for search and recommendation applications in e-commerce.
SBNet: Segmentation-based Network for Natural Language-based Vehicle Search
Natural language-based vehicle retrieval is a task to find a target vehicle within a given image based on a natural language description as a query.
Multi-Attention-Based Soft Partition Network for Vehicle Re-Identification
Meanwhile, based on the researchers' insights, various handcrafted multi-attention architectures for specific viewpoints or vehicle parts have been proposed.
Wide-Residual-Inception Networks for Real-time Object Detection
Since convolutional neural network(CNN)models emerged, several tasks in computer vision have actively deployed CNN models for feature extraction.
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