archive

Transformers annual. 2004, Armada

Can you chip in? As an independent nonprofit, the Internet Archive is fighting for universal access to quality information. We build and maintain all our own systems, but we don’t charge for access, ...
IEEE

Segmentation of 3D Non-Contrast CT Brain Images Using Transformer Neural Networks

Abstract: We propose a method for semantic segmentation of 3D non-contrast computed tomography brain images of acute ischemic stroke using transformer neural networks. To improve the segmentation ...

Turn Any Photo into a 3D Model with SAM 3D : From One Snapshot to Shareable Mesh

Turn photos into 3D with Meta's SAM 3D, using SAM 2 masks and Gaussian splatting, so you can build assets quickly for ...
Department of Computer Science - University of Texas at Austin

Adaptive Anatomy: 3D Models That Fit Every Form

Researchers at The University of Texas at Austin recently received support from the National Science Foundation (NSF) to ...

Apple releases impressive open-source model that instantly turns 2D photos into 3D views

The model, called SHARP, can reconstruct a photorealistic 3D scene from a single image in under a second. Here are some examples.
AZoSensors

AI Maps Heat Inside Steelmaking’s Critical Sintering Process Beds

The Temporal Fusion Transformer model provides near-real-time insights into sintering temperatures, addressing critical ...
IEEE

Transformer-Based Optimized Multimodal Fusion for 3D Object Detection in Autonomous Driving

Abstract: Accurate 3D object detection is vital for autonomous driving since it facilitates accurate perception of the environment through multiple sensors. Although cameras can capture detailed color ...

Nvidia debuts Nemotron 3 with hybrid MoE and Mamba-Transformer to drive efficient agentic AI

Nvidia is leaning on the hybrid Mamba-Transformer mixture-of-experts architecture its been tapping for models for its new Nemotron 3 models.
GitHub

DAFDeTr: Deformable Attention Fusion Based 3D Detection Transformer

This is the official PyTorch implementation of the paper DAFDeTr: Deformable Attention Fusion Based 3D Detection Transformer, by Gopi Krishna Erabati and Helder Araujo. Gopi Krishna Erabati and Helder ...
Microsoft

Retentive Network: A Successor to Transformer for Large Language Models

In this work, we propose Retentive Network (RetNet) as a foundation architecture for large language models, simultaneously achieving training parallelism, low-cost inference, and good performance. We ...

Z.ai debuts open source GLM-4.6V, a native tool-calling vision model for multimodal reasoning

Chinese AI startup Zhipu AI aka Z.ai has released its GLM-4.6V series, a new generation of open-source vision-language models (VLMs) optimized for multimodal reasoning, frontend automation, and ...
GitHub

facebookresearch/sam-3d-objects

SAM 3D Objects is a foundation model that reconstructs full 3D shape geometry, texture, and layout from a single image, excelling in real-world scenarios with occlusion and clutter by using ...