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08/29/2023
Text-to-SQL Empowered by Large Language Models: A Benchmark Evaluation
Large language models (LLMs) have emerged as a new paradigm for Text-to-...
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04/28/2023
PreNAS: Preferred One-Shot Learning Towards Efficient Neural Architecture Search
The wide application of pre-trained models is driving the trend of once-...
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03/05/2023
DeepMAD: Mathematical Architecture Design for Deep Convolutional Neural Network
The rapid advances in Vision Transformer (ViT) refresh the state-of-the-...
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02/09/2022
GiraffeDet: A Heavy-Neck Paradigm for Object Detection
In conventional object detection frameworks, a backbone body inherited f...
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02/08/2022
Ada-NETS: Face Clustering via Adaptive Neighbour Discovery in the Structure Space
Face clustering has attracted rising research interest recently to take ...
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12/28/2021
TAGPerson: A Target-Aware Generation Pipeline for Person Re-identification
Nowadays, real data in person re-identification (ReID) task is facing pr...
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09/20/2021
Interpolation variable rate image compression
Compression standards have been used to reduce the cost of image storage...
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08/23/2021
Exploring the Quality of GAN Generated Images for Person Re-Identification
Recently, GAN based method has demonstrated strong effectiveness in gene...
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07/12/2021
Fine-Grained AutoAugmentation for Multi-Label Classification
Data augmentation is a commonly used approach to improving the generaliz...
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05/14/2021
Importance Weighted Adversarial Discriminative Transfer for Anomaly Detection
Previous transfer methods for anomaly detection generally assume the ava...
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04/23/2021
Learning to Cluster Faces via Transformer
Face clustering is a useful tool for applications like automatic face an...
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04/13/2021