Point cloud is an important type of geometric data structure.
#2 best model for Scene Segmentation on ScanNet
Compared to YOLOv2 on the MS-COCO object detection, ESPNetv2 delivers 4. 4% higher accuracy with 6x fewer FLOPs.
#20 best model for Object Detection on PASCAL VOC 2007
Finally, we gather up the decoder layers with equivalent scales (sizes) to develop a feature pyramid for object detection, in which every feature map consists of the layers (features) from multiple levels.
#22 best model for Object Detection on COCO test-dev
We analyze key properties of the approach that make it work, finding that the contrastive loss outperforms a popular alternative based on cross-view prediction, and that the more views we learn from, the better the resulting representation captures underlying scene semantics.
#7 best model for Self-Supervised Image Classification on ImageNet
In this paper, we address the problem of reducing the memory footprint of convolutional network architectures.
We believe that the insights in this work will open a lot of avenues for future research on GCNs and transfer to further tasks not explored in this work.
#2 best model for Node Classification on PPI
Conventional deep convolutional neural networks (CNNs) apply convolution operators uniformly in space across all feature maps for hundreds of layers - this incurs a high computational cost for real-time applications.
We learn rich natural sound representations by capitalizing on large amounts of unlabeled sound data collected in the wild.
We present OctNet, a representation for deep learning with sparse 3D data.
We report on a series of experiments conducted for different recognition tasks using the publicly available code and model of the \overfeat network which was trained to perform object classification on ILSVRC13.