Annotated-Research-Paper

The annotated papers highlights the important points and mark down notes helps one to get a grasp of paper easily.

Following paper:

1. 2005.09007v2.pdf - U2-Net: Going Deeper with Nested U-Structure for Salient Object Detection
2. 1311.2524.pdf - RCNN : Rich feature hierarchies for accurate object detection and semantic
3. 1505.04597.pdf - UNet :: Convolutional Networks for Biomedical Image Segmentation
4. 1904.10633 .pdf - LFFD: A Light and Fast Face Detector for Edge Devices
5. 1905.11946v5 (1) (1).pdf - EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
6. 1611.07004.pdf - Image-to-Image Translation with Conditional Adversarial Networks
7. 1612.03144.pdf- Feature Pyramid Networks for Object Detection
8. 2101.03697.pdf - RepVGG: Making VGG-style ConvNets Great Again
9. 2102.06171.pdf - NFNet: High-Performance Large-Scale Image Recognition Without Normalization
10. 1506.02640.pdf - You Only Look Once: YOLO v1
11. Malware Evasion Attack and Defense.pdf- An Empirical Analysis of Image-Based Learning Techniques forMalware Classification
12. TRAINING BATCHNORM AND ONLY BATCH NORM ICLR 2021
13. GrokNet.pdf - GrokNet: Unified Computer Vision Model Trunk and Embeddings For Commerce

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