文件名称：ECCV2018的获奖论文
文件大小：72.05MB
文件格式：ZIP
更新时间：2021-11-02 09:41:28
人工智能 机器学习 最新论文 Facebook
Facebook公司在2018年ECCV比赛中的17篇获奖论文。 对研究最新的人工智能进展有很大帮助！
【文件预览】：
FB papes_ECCV 2018
----17. Satwik_Kottur_Visual_Coreference_Resolution_ECCV_2018_paper.pdf(939KB)
----15. Natalia_Neverova_Two_Stream__ECCV_2018_paper.pdf(1.37MB)
----11. Memory-Aware-Synapses-Learning-what-not-to-forget.pdf(651KB)
----13. Predicting-Future-Instance-Segmentation-by-Forecasting-Convolutional-Features.pdf(8.29MB)
----12. Object-Level-Visual-Reasoning-in-Videos.pdf(3.29MB)
----16. Value-aware-Quantization-for-Training-and-Inference-of-Neural-Networks.pdf(1.07MB)
----6. Exploring the Limits of Weakly Supervised Pretraining - 1805.00932.pdf(985KB)
----3. DDRNet-Depth-Map-Denoising-and-Refinement-for-Consumer-Depth-Cameras-Using-Cascaded-CNNs.pdf(4.19MB)
----2. ConvNets-and-ImageNet-Beyond-Accuracy-Understanding-Mistakes-and-Uncovering-Biases.pdf(2.88MB)
----4. Mathilde_Caron_Deep_Clustering_for_ECCV_2018_paper.pdf(2.2MB)
----9. Group-Normalization.pdf(987KB)
----7. Multi-Fiber-Networks-for-Video-Recognition_2.pdf(2.1MB)
----10. NAM- Non-Adversarial Unsupervised Domain Mapping - 1806.00804.pdf(3.19MB)
----Abstract.txt(21KB)
----5. DeepWrinkles-Accurate-and-Realistic-Clothing-Modeling.pdf(6.14MB)
----14. Recycle-GAN-Unsupervised-Video-Retargeting.pdf(27.89MB)
----1. Choose-Your-Neuron-Incorporating-Domain-Knowledge-through-Neuron-Importance.pdf(7.23MB)
----8. Graph-R-CNN-for-Scene-Graph-Generation.pdf(1.78MB)