Paper-Contributions-Analysis

Train to summary one paper's contributions.

1. Can Subnetwork Structure be the Key to Out-of-Distribution Generalization?

ICML 2021 Oral https://arxiv.org/pdf/2106.02890.pdf

Contributions Analysis

2. Reducing Domain Gap by Reducing Style Bias

CVPR 2021 Oral https://arxiv.org/pdf/1910.11645.pdf

Contributions Analysis

3. Intentonomy: a Dataset and Study towards Human Intent Understanding

CVPR 2021 Oral https://arxiv.org/pdf/2011.05558.pdf

Contributions Analysis

4. Finding “It”: Weakly-Supervised Reference-Aware Visual Grounding in Instructional Videos

CVPR 2018 Oral https://openaccess.thecvf.com/content_cvpr_2018/papers/Huang_Finding_It_Weakly-Supervised_CVPR_2018_paper.pdf

Contributions Analysis

5. Less is More: CLIPBERT for Video-and-Language Learning via Sparse Sampling

CVPR 2021 Oral https://arxiv.org/pdf/2102.06183.pdf

Contributions Analysis

6. NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis

ECCV 2020 Oral https://arxiv.org/pdf/2003.08934.pdf

Contributions Analysis

7. GIRAFFE: Representing Scenes as Compositional Generative Neural Feature Fields

CVPR 2021 Oral https://arxiv.org/pdf/2011.12100.pdf

Contributions Analysis

8. Pixel-Level Cycle Association: A New Perspective for Domain Adaptive Semantic Segmentation

NeurIPS 2020 Oral https://arxiv.org/pdf/2011.00147.pdf

Contributions Analysis

9. Knowledge Evolution in Neural Networks

CVPR 2021 Oral https://arxiv.org/pdf/2103.05152.pdf

Contributions Analysis

10. Learning to Reconstruct Shapes from Unseen Classes

NeurIPS 2018 Oral https://arxiv.org/pdf/1812.11166.pdf

Contributions Analysis

11. Neural 3D Mesh Renderer

CVPR 2018 https://arxiv.org/pdf/1711.07566.pdf

Contributions Analysis

12. Uncertainty-aware Score Distribution Learning for Action Quality Assessment

CVPR 2020 Oral https://arxiv.org/pdf/2006.07665.pdf

Contributions Analysis

13. Evidential Deep Learning for Open Set Action Recognition

ICCV 2021 Oral https://arxiv.org/pdf/2107.10161.pdf

Contributions Analysis

14. Towards Discriminability and Diversity: Batch Nuclear-norm Maximization under Label Insufficient Situations

CVPR 2020 Oral https://arxiv.org/pdf/2003.12237.pdf

Contributions Analysis

15. Unidentified Video Objects: A Benchmark for Dense, Open-World Segmentation

ICCV 2021 https://arxiv.org/pdf/2104.04691.pdf

Contributions Analysis

16. Towards Open World Object Detection

CVPR 2021 Oral https://arxiv.org/pdf/2103.02603.pdf

Contributions Analysis

17. Learning Continuous Image Representation with Local Implicit Image Function

CVPR 2021 Oral https://arxiv.org/pdf/2012.09161.pdf

Contributions Analysis