IEEE

Adversarial Training on Point Clouds for Sim-to-Real 3D Object Detection

Abstract: In this work we address the problem of 3D object detection from point clouds in data-limited environments. Training with simulated data is a common approach in such scenarios; however a ...
IEEE

Towards Large-Scale 3D Representation Learning with Multi-Dataset Point Prompt Training

Abstract: The rapid advancement of deep learning models is often attributed to their ability to leverage massive training data. In contrast, such privilege has not yet fully benefited 3D deep learning ...
IEEE

14.5 A 28nm 192.3TFLOPS/W Accurate/Approximate Dual-Mode-Transpose Digital 6T-SRAM CIM Macro for Floating-Point Edge Training and Inference

Abstract: SRAM CIM macros have been developed to enhance energy efficiency (EF) in edge-AI applications. However, most research has predominantly focused on inference [1]–[6], with relatively little ...
IEEE

Point Cloud Pre-training with Natural 3D Structures

Abstract: The construction of 3D point cloud datasets requires a great deal of human effort. Therefore, constructing a large-scale 3D point clouds dataset is difficult. In order to rem-edy this issue, ...
IEEE

An On-Chip Fully Connected Neural Network Training Hardware Accelerator Based on Brain Float Point and Sparsity Awareness

Abstract: In recent years, deep neural networks (DNNs) have brought revolutionary progress in various fields with the advent of technology. It is widely used in image pre-processing, image enhancement ...
National Hockey League

Swayman 'in a great spot' entering Bruins training camp

BOSTON --One year ago, so much was in question in Jeremy Swayman’s world. He was facing down the prospect of missing some, if not all, of training camp, with his contract situation unsettled and his ...
GitHub

SimIPU: Simple 2D Image and 3D Point Cloud Unsupervised Pre-Training for Spatial-Aware Visual Representations

Redundancy version of SimIPU. Main codes are in SimIPU/project_cl. You can find codes of MonoDepth here. We provide detailed configs and results, even in an indoor environment depth dataset, which ...
GitHub

tableau-dashboard

All Tableau workbooks, datasets, and resources for students from Data with Baraa’s YouTube Tableau series. The most comprehensive Tableau & SQL guide from a real-world expert! Learn everything from ...
GitHub

LibAUC: A Deep Learning Library for X-Risk Optimization

[8/14/2024]: New Version is Available: We are releasing LibAUC 1.4.0. We offer new optimizers/losses/models and have improved some existing optimizers. For more details, please check the latest ...
bleedingcool

Dean Cain Not Hurt by ICE Training; Gavin Newsom Raises a Good Point

To be clear? Cain only takes issue with the idea that he was injured during his training to be an honorary ICE Agent and not the "bigger picture" accusation – something Gov. Newsom's Press Office ...
Los Angeles Times

UCLA’s big training camp secret exposed by Utah in Bruins’ blowout loss

UCLA struggles to make tackles on defense and new quarterback Nico Iamaleava is inconsistent in the Bruins’ 43-10 loss to Utah. Utah quarterback Devon Dampier created problems for the UCLA defense all ...