IBC - International Broadcasting Convention’s Post

With a PxE camera, computer vision systems achieve real-time object identification and depth information natively-fused at the source. A multi-channel solution without the need for sensor fusion, offering both accurate data and a compact footprint. What more could one ask for? P.S. Apologies for the vision system mistaking the dog Charlie for a human (but then again, we think of him that way too) #computervision #3Dimaging #nativefusion #sensorfusion

🌟 Exciting update alert! Check out this insightful blog post on "DiTFastAttn: Attention Compression for Diffusion Transformer Models" on arXiv (2406.08552v1). The post introduces DiTFastAttn, a novel compression method addressing the computational challenges faced by Diffusion Transformers. By identifying and tackling key redundancies in attention computation, DiTFastAttn demonstrates impressive results, reducing FLOPs by up to 88% and achieving a 1.6x speedup in high-resolution image generation. Dive into the details here: https://bit.ly/4chCiYC. #ArtificialIntelligence #TransformerModels #ImageGeneration

This x-ray imager integrates scintillator film, free from ghosting, with an event-based vision sensor to achieve an impressive data compression ratio of 23.7%: https://ow.ly/LbMF50Sb5nR Growth in data volume imposes constraints on system capabilities, including data transmission, bandwidth, processing capability and more. The imager demonstrated in this Optica [#OPG_Optica] study offers high sensitivity to dynamic objects and does not respond to static backgrounds, thus achieving data volume compression with high image quality. Written by: Ao Zhang, Jincong Pang, Haodi Wu, Qingwen Tan, Zhiping Zheng, Ling Xu, Jiang Tang, and Guangda Niu #xray #imaging #science #data #bandwidth

What's Noise in imaging? What's Bias? What's Mean Squared Error (MSE), and how does it relate to noise and bias? What are Noise vs. Bias Trade-off Curves? What's Contrast? What's Contrast-to-Noise Ratio (CNR)? What's the Rose criterion? What's the Contrast Recovery Coefficient (CRC)? How do these metrics relate to each other and different image reconstruction & generation methods? Just posted: https://lnkd.in/gP9YiE-x

Radix Sort Algorithm :- Radix sort is a non-comparative sorting algorithm that sorts integers by grouping digits of the numbers. It sorts numbers by processing individual digits of the numbers starting from the least significant digit (rightmost) to the most significant digit (leftmost). "Radix sort has a time complexity of O(n*k), where n is the number of elements and k is the number of digits in the largest number."

See more from the sea floor. 🔬 Optimize your OBN images with PGS amplitude-compliant signal processing and Least-Squares migration. Find out more - https://ow.ly/yrSc50S4nJA #SmarterTogether

Scalable High-Resolution Pixel-Space Image Synthesis with Hourglass Diffusion Transformers Crowson et al.: https://lnkd.in/eM9UwAp7 #ArtificialIntelligence #DeepLearning #MachineLearning

Scalable High-Resolution Pixel-Space Image Synthesis with Hourglass Diffusion Transformers Crowson et al.: https://lnkd.in/eM9UwAp7 #ArtificialIntelligence #DeepLearning #MachineLearning

📊🔬 Discover how coincidence loss impacts count rate statistics and noise performance in counting detectors for imaging applications. 🔗 Read the full paper here → https://lnkd.in/dp9ncXEE