Author: Priyanka Israni

Priyanka Israni
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http://www.marktechpost.com
Priyanka Israni is currently pursuing PhD at Gujarat Technological University, Ahmedabad, India. Her interest area lies in medical image processing, machine learning, deep learning, data analysis and computer vision. She has 8 years of teaching experience to engineering graduates and postgraduates.

NVIDIA AI Researchers Propose ‘MinVIS,’ A Minimal Video Instance Segmentation (VIS) Framework That Achieves SOTA Performance With Neither Video-Based Architectures Nor Training Procedures

The goal of video instance segmentation (VIS) is to recognize, classify, and track object instances in the video. VIS is substantially more complex than...

Google AI Researchers Propose N-Grammer for Augmenting the Transformer Architecture with Latent n-grams

Introducing self-attention to neural networks has propelled rapid and outstanding progress in generative text modeling. Transformer models are now recognized as the fundamental approach...

Researchers From China Propose A New Machine Learning Framework Called BootMAE (Bootstrapped Masked Autoencoders) For Vision BERT Pretraining

In the computer vision field, self-supervised representation learning has been a challenging problem for a long time. Self-supervised representation learning aims to learn transferrable...

Researchers from Bytedance and Dalian University Propose 🦄 ‘Unicorn’: a Unified Computer Vision Approach to Address Four Tracking Tasks Using a Single Model with...

Object tracking is one of the core applications in the field of computer vision. It constructs pixel-level or instance-level connections amongst frames and produces...

Stanford AI Researchers Propose ‘Point2Cyl’: A Supervised Neural Network Transforming A Raw 3D Point Cloud To A Set of Extrusion Cylinders

If an item was created before the rise of digital manufacturing, its associated CAD model is not available. There is a need to reverse...

Deepmind AI Researchers Introduce ‘DeepNash’, An Autonomous Agent Trained With Model-Free Multiagent Reinforcement Learning That Learns To Play The Game Of Stratego At Expert...

For several years, the Stratego board game has been regarded as one of the most promising areas of research in Artificial Intelligence. Stratego is...

AI Researchers From China Introduce a New Vision GNN (ViG) Architecture to Extract Graph Level Feature for Visual Tasks

Visual perception is more adaptable and practical when an image is viewed as a graph. In computer vision, several networks handle the input image...

ETH Zurich AI Researchers Introduce ‘tntorch’: a PyTorch-Powered Tensor Learning Python Library That Supports Multiple Decompositions Under a Unified Interface

Tensors are an effective method for handling and representing multidimensional data arrays. However, they have a limitation in terms of storage and computation. Tensor...

Researchers From INRIA France Propose ‘Pythae’: An Open-Source Python Library Unifying Common And State-of-the-Art Generative AutoEncoder (GAE) Implementations

Variational AutoEncoders (VAE) have grown in popularity due to their scalability and computational efficiency. It is widely used in voice modeling, clustering, and data...

Researchers Introduce ‘RANKGEN’: A Deep Encoder Model (1.2B Parameters) Which Maps Prefixes And Generations From Any Pretrained English Language Model To A Shared Vector...

Language models (LM) are widely used to assign probabilities to the text. Current language models frequently give a high probability to the output sequences...

Skydio Researchers Open-Source ‘SymForce’: A Fast Symbolic Computation And Code Generation Library For Robotics Applications Like Computer Vision, etc.

This Article is written as a summay by Marktechpost Research Staff based on the research paper 'SymForce: Symbolic Computation and Code Generation for Robotics'. All...

Baidu AI Researchers Introduce SE-MoE That Proposes Elastic MoE Training With 2D Prefetch And Fusion Communication Over Hierarchical Storage

Machine learning and deep learning have gained popularity in domains, like computer vision (CV) and natural language processing (NLP), which require analyzing large amounts...

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