New Apple model combines vision understanding and image generation with impressive results

Manzano combines visual understanding and text-to-image generation, while significantly reducing performance or quality trade-offs.
IEEE

A Hybrid Deep Learning Approach for Skin Lesion Segmentation With Dual Encoders and Channel-Wise Attention

Abstract: Skin cancer poses a significant global health challenge due to its increasing incidence rates. Accurate segmentation of skin lesions is essential for early detection and successful treatment ...
UroToday

Incorporating physicians' contouring style into auto-segmentation of clinical target volume for post-operative prostate cancer radiotherapy using a language encoder.

Post-operative radiotherapy for prostate cancer requires precise contouring of the clinical target volume (CTV) to account for microscopic disease that is invisible in the image. However, the absence ...
IEEE

An Absolute Capacitive Encoder Using Sample-and-Hold Demodulator to Reduce Interference Between Sine and Cosine Channels

Abstract: This paper presents an absolute capacitive rotary encoder using a sample-and-hold demodulator (SHD) to reduce interference between sine and cosine channels. The capacitive encoder measures ...
marktechpost

Meta AI Open-Sourced Perception Encoder Audiovisual (PE-AV): The Audiovisual Encoder Powering SAM Audio And Large Scale Multimodal Retrieval

Perception Encoder, PE, is the core vision stack in Meta’s Perception Models project. It is a family of encoders for images, video, and audio that reaches state of the art on many vision and audio ...
GitHub

FaissalMarzouki/IDS-DL-CICIDS2017-LSTM

This is a production-ready package containing everything needed to deploy an advanced LSTM neural network for cybersecurity intrusion detection using the CICIDS2017 dataset. Input (1, 52) - 52 network ...