Enhancing chromosome detection in metaphase cell images
ChromTR, a novel framework for chromosome detection in metaphase cell images, represents a significant advancement in the ...
Science Daily14d
Improved brain decoder holds promise for communication in people with aphasia
A new AI-based tool can translate a person's thoughts into continuous text, without requiring the person to comprehend spoken words. This latest advance suggests it may be possible, with further ...
scienceopen.com15d
Aligner-Encoders: Self-Attention Transformers Can Be Self-Transducers
Modern systems for automatic speech recognition, including the RNN-Transducer and Attention-based Encoder-Decoder (AED), are designed so ... We discover that the transformer-based encoder adopted in ...
IEEE21d
Contrastive Self-Supervised Learning-Based Background Reconstruction for Hyperspectral Anomaly Detection
The DAN encoder is constructed by the vision transformer (ViT) and channel attention module ... A transfer learning model is constructed based on the DAN encoder and a lightweight decoder, which is ...
BioSpace22d
Ecotone Releases First Diffusion Transformer AI Model in Vision of Reading the Human Genome as a First Language
Our vision at Ecotone is to achieve the same level of fluency ... Named in recognition of its ambitious scope, dnaSORA adapts advanced diffusion transformer (DiT) technology—previously used in cutting ...
provideocoalition.com28d
NVIDIA RTX 5090 is for creators, not gamers: all you need to know
It’s the fastest card for gaming… but it’s all a trick, and the conversation about fake frames has just started. But if you’re into AI or heavy video rendering, NVIDIA’s new RTX 5090 may be the card ...
Frontiers1mon
Improved object detection method for autonomous driving based on DETR
To address the limitations of current techniques, this paper presents an improved object detection method for autonomous driving based on a detection transformer (DETR ... V are generated by the ...
IEEE1mon
EF-VPT-Net: Enhanced Feature-Based Vision Patch Transformer Network for Accurate Brain Tumor Segmentation in Magnetic Resonance Imaging
This architecture consists of an optimized vision patch transformer network as the encoder, while the decoder phase utilizes positional embedding-based convolutional U-Net blocks to identify the ...
GitHub2mon
Hallo3: Highly Dynamic and Realistic Portrait Image Animation with Diffusion Transformer Networks
2025/01/27: 🎉🎉🎉 Release training data on HuggingFace. The collection comprises over 70 hours of talking-head videos, complemented by an additional 50 hours of dynamic video clips featuring vibrant ...