Guangyu Ren

Computer Science

1. Adaptive Algorithm 27%
2. Complexity 83%
3. Contrastive Learning 20%
4. Convolutional Layer 83%
5. Convolutional Neural Network 41%
6. Deep Convolutional Neural Networks 41%
7. Deep Learning Method 83%
8. Deep Reinforcement Learning 41%
9. Detection Method 41%
10. Discriminative Feature 41%
11. Elimination Method 41%
12. Existing Label 27%
13. Experimental Result 44%
14. False Positive 16%
15. Feature Dimension 41%
16. Feature Extraction 83%
17. Feature Extraction Network 83%
18. Feature Individual 83%
19. Feature Information 20%
20. Feature Map 41%
21. Few-Shot Learning 83%
22. Frequency Domain 20%
23. Frequency Spectrum 83%
24. High Dynamic Range Image 41%
25. Image Analysis 83%
26. Image Enhancement 83%
27. image feature 83%
28. Image Restoration 83%
29. Image Segmentation 100%
30. Inference Method 27%
31. Learning Algorithm 41%
32. Learning Approach 20%
33. Limited Labeled Data 27%
34. Multiscale Pyramid 41%
35. Polyp Segmentation 83%
36. Propagation Algorithm 27%
37. Rapid Development 83%
38. Regional Feature 41%
39. RGB Image 20%
40. RGB-D Salient Object Detection 83%
41. Robot 41%
42. Robotics 83%
43. Saliency Detection 83%
44. Salient Object Detection 83%
45. Semisupervised Learning 83%
46. Superior Performance 16%
47. Training Phase 83%
48. Transitions 83%
49. Uniform Sampling 41%
50. Unlabeled Data 55%