Home

ShuffleNet V1 ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices(arXiv) Core Idea: Channel Shuffle Channel shuffle with two stacked group convolutions. GConv stands for group convolution. a) two stacked convolution layers with the same number of groups. Each output channel only relates to the input channels wi...

DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs arXiv Atrous Spatial Pyramid Pooling (ASPP) Module To classify the center pixel (orange), ASPP exploits multi-scale features by employing multiple parallel filters with different rates. The effective Field-Of-Views are shown in di...

Mean IOU Intersection-Over-Union (IoU) IoU is the area of overlap between the predicted segmentation and the ground truth divided by the area of union between the predicted segmentation and the ground truth. For binary (two classes) or multi-class segmentation, the mean IoU of the image is calculated by taking the IoU of each class and avera...

Few-Shot Object Detection with Attention-RPN and Multi-Relation Detector Author: Qi Fan, Wei Zhuo, Yu-Wing Tai Arxiv: 1908.01998 GitHub Problem Few-shot object detection: aims to detect objects of unseen class with a few training examples. Insight Central to our method is the Attention-RPN and the multi-relation module which fully exp...

Bridging the Gap Between Anchor-based and Anchor-free Detection via Adaptive Training Sample Selection(Oral) Author: Shifeng Zhang, Cheng Chi, Yongqiang Yao, Zhen Lei, Stan Z. Li Arxiv: 1912.02424 GitHub Problem Anchor-based VS. Anchor-Free detectors, what’s the true difference Insight We first point out that the essential differenc...

Steering Self-Supervised Feature Learning Beyond Local Pixel Statistics(Oral) Author: Simon Jenni, Hailin Jin, Paolo Favaro Arxiv: 2004.02331 Problem Recognizing the pose of objects from a single image that for learning uses only unlabelled videos and a weak empirical prior on the object poses. Insight Prevent appearance leakage in Cyc...

Error: Nvidia-docker’s signatures couldn’t be verified W: An error occurred during the signature verification. The repository is not updated and the previous index files will be used. GPG error: https://nvidia.github.io/libnvidia-container/ubuntu18.04/amd64 InRelease: The following signatures couldn't be verified because the public key is not ...

In the flowling ways, the error is prompt without distrupt training process. for i in range(conf.max_iters + 1): # Train a single iteration on the current data instance try: model.train_one_iter(i, input_images) except KeyboardInterrupt: raise except Exception as e: print('Something went wrong in iterati...