爱可可老师一周论文精选(2020.5.30)

​​No 1. 《Why distillation helps: a statistical perspective》
No 2. 《End-to-End Object Detection with Transformers》
No 3. 《Poly-YOLO: higher speed, more precise detection and instance segmentation for YOLOv3》
No 4. 《The best way to select features?》
No 5. 《3D Augmented Reality-Assisted CT-Guided Interventions: System Design and Preclinical Trial on an Abdominal Phantom using HoloLens 2》
No 6. 《Learning To Classify Images Without Labels》
No 7. 《Connecting the Dots: Multivariate Time Series Forecasting with Graph Neural Networks》
No 8. 《Attention-based network for low-light image enhancement》
No 9. 《Pretraining with Contrastive Sentence Objectives Improves Discourse Performance of Language Models》
No 10. 《Point2Mesh: A Self-Prior for Deformable Meshes》
No 11. 《High-Resolution Image Inpainting with Iterative Confidence Feedback and Guided Upsampling》
No 12. 《An Adversarial Approach for Explaining the Predictions of Deep Neural Networks》
No 13. 《Is deeper better? It depends on locality of relevant features》
No 14. 《MMFashion: An Open-Source Toolbox for Visual Fashion Analysis》
No 15. 《Wish You Were Here: Context-Aware Human Generation》
No 16. 《Instance-aware Image Colorization》
No 17. 《Generative Adversarial Networks for photo to Hayao Miyazaki style cartoons》
No 18. 《Kernel methods library for pattern analysis and machine learning in python》
No 19. 《End-to-End Pseudo-LiDAR for Image-Based 3D Object Detection》
No 20. 《Manifold Alignment for Semantically Aligned Style Transfer》
No 21. 《Model-Based Robust Deep Learning》
No 22. 《Domain Conditioned Adaptation Network》
No 23. 《SegAttnGAN: Text to Image Generation with Segmentation Attention》
No 24. 《Efficient Pig Counting in Crowds with Keypoints Tracking and Spatial-aware Temporal Response Filtering》
No 25. 《Vulnerability of deep neural networks for detecting COVID-19 cases from chest X-ray images to universal adversarial attacks》
No 26. 《Statistical Analysis of Data Repeatability Measures》
No 27. 《TAO: A Large-Scale Benchmark for Tracking Any Object》
No 28. 《Feature Purification: How Adversarial Training Performs Robust Deep Learning》
No 29. 《GeoCoV19: A Dataset of Hundreds of Millions of Multilingual COVID-19 Tweets with Location Information》
No 30. 《TIME: Text and Image Mutual-Translation Adversarial Networks》

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