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09/17/2023
OWL: A Large Language Model for IT Operations
With the rapid development of IT operations, it has become increasingly ...
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08/23/2022
Faint Features Tell: Automatic Vertebrae Fracture Screening Assisted by Contrastive Learning
Long-term vertebral fractures severely affect the life quality of patien...
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08/23/2022
Structure Regularized Attentive Network for Automatic Femoral Head Necrosis Diagnosis and Localization
In recent years, several works have adopted the convolutional neural net...
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03/27/2022
Beyond Masking: Demystifying Token-Based Pre-Training for Vision Transformers
The past year has witnessed a rapid development of masked image modeling...
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03/17/2022
DATA: Domain-Aware and Task-Aware Pre-training
The paradigm of training models on massive data without label through se...
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06/21/2021
GAIA: A Transfer Learning System of Object Detection that Fits Your Needs
Transfer learning with pre-training on large-scale datasets has played a...
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05/18/2020
Large-Scale Object Detection in the Wild from Imbalanced Multi-Labels
Training with more data has always been the most stable and effective wa...
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10/26/2019
Learning an Efficient Network for Large-Scale Hierarchical Object Detection with Data Imbalance: 3rd Place Solution to Open Images Challenge 2019
This report details our solution to the Google AI Open Images Challenge ...
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09/05/2019
Efficient Neural Architecture Transformation Searchin Channel-Level for Object Detection
Recently, Neural Architecture Search has achieved great success in large...
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09/05/2019
POD: Practical Object Detection with Scale-Sensitive Network
Scale-sensitive object detection remains a challenging task, where most ...
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09/07/2018
