IEEE

Push-and-Pull: A General Training Framework With Differential Augmentor for Domain Generalized Point Cloud Classification

Abstract: As a fundamental task of 3D perception, point cloud recognition has shown significant progress in recent years. However, existing methods still face challenges when dealing with geometry ...
IEEE

A 28-nm 8-bit Floating-Point Tensor Core-Based Programmable CNN Training Processor With Dynamic Structured Sparsity

Abstract: Training deep/convolutional neural networks (DNNs/CNNs) requires a large amount of memory and iterative computation, which necessitates speedup and energy reduction, especially for edge ...
IEEE

A 28nm 8-bit Floating-Point Tensor Core based CNN Training Processor with Dynamic Activation/Weight Sparsification

Abstract: We present an 8-bit floating-point (FP8) training processor which implements (1) highly parallel tensor cores (fused multiply-add trees) that maintain high utilization throughout forward ...
IEEE

Enhanced Local and Global Learning for Rotation-Invariant Point Cloud Representation

Abstract: Various studies have been undertaken to learn point cloud representations that are both discriminative and robust. However, most of them suffer from rotation disturbance and insufficient ...
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 ...
IEEE

Dynamically Adapting Floating-Point Precision to Accelerate Deep Neural Network Training

Abstract: Mixed-precision (MP) arithmetic combining both single- and half-precision operands has been successfully applied to train deep neural networks. Despite its advantages in terms of reducing ...
IEEE

Once-Training-All-Fine: No-Reference Point Cloud Quality Assessment via Domain-Relevance Degradation Description

Abstract: The visual quality of point clouds plays a crucial role in the development and broadcasting of immersive media. Therefore, investigating point cloud quality assessment (PCQA) is instrumental ...
IEEE

Contrastive Pre-Training with Multi-View Fusion for No-Reference Point Cloud Quality Assessment

Abstract: No-reference point cloud quality assessment (NR-PCQA) aims to automatically evaluate the perceptual quality of distorted point clouds without available reference, which have achieved ...
Hosted on MSN

Handbrake wheelie tutorial that gives you total control over your balance point height

Lakers' Luka Doncic officially suspended by NBA — here's why Blood red water burst through Antarctic ice – now scientists might know why How to get rid of grass between patio stones for good Hikers ...
IEEE

Multi-Equilibrium Point Coupled Tanks System: a tutorial about LPV modelling and control design

Abstract: This work provides a tutorial to model a nonlinear system by means of a set of linear parameter varying (LPV) systems, linearized around equilibrium points in which the control design will ...
theregister

GitHub hits CTRL-Z, decides it will train its AI with user data after all

Microsoft's GitHub next month plans to begin using customer interaction data – "specifically inputs, outputs, code snippets, and associated context" – to train its AI models. The code locker’s revised ...
India Today

1-month ceasefire, no nukes, reopen Hormuz: Trump's 15-point plan to end Iran war

The US has proposed a 15-point plan to Iran to end the conflict, including curbs on its nuclear programme and reopening the Strait of Hormuz, alongside a month-long truce. But, Tehran may not accept ...