ManiSkill3: GPU Parallelized Robotics Simulation and Rendering for Generalizable Embodied AI
By Javier Vásquez
Posted on: October 02, 2024
Simulation has enabled unprecedented compute-scalable approaches to robot learning. However, many existing simulation frameworks typically support a narrow range of scenes/tasks and lack features critical for scaling generalizable robotics and sim2real. We introduce and open source ManiSkill3, the f...
Multiple low-vision tasks such as denoising, deblurring and super-resolution depart from RGB images and further reduce the degradations, improving the quality. However, modeling the degradations in the sRGB domain is complicated because of the Image Signal Processor (ISP) transformations. Despite of...
YOLOv8-ResCBAM: YOLOv8 Based on An Effective Attention Module for Pediatric Wrist Fracture Detection
By Javier Vásquez
Posted on: September 30, 2024
Wrist trauma and even fractures occur frequently in daily life, particularly among children who account for a significant proportion of fracture cases. Before performing surgery, surgeons often request patients to undergo X-ray imaging first, and prepare for the surgery based on the analysis of the ...
MinerU: An Open-Source Solution for Precise Document Content Extraction
By Naomi Wilson
Posted on: September 30, 2024
Document content analysis has been a crucial research area in computer vision. Despite significant advancements in methods such as OCR, layout detection, and formula recognition, existing open-source solutions struggle to consistently deliver high-quality content extraction due to the diversity in d...
MCUBench: A Benchmark of Tiny Object Detectors on MCUs
By Javier Vásquez
Posted on: September 30, 2024
We introduce MCUBench, a benchmark featuring over 100 YOLO-based object detection models evaluated on the VOC dataset across seven different MCUs. This benchmark provides detailed data on average precision, latency, RAM, and Flash usage for various input resolutions and YOLO-based one-stage detector...
StoryMaker: Towards Holistic Consistent Characters in Text-to-image Generation
By Naomi Wilson
Posted on: September 25, 2024
Tuning-free personalized image generation methods have achieved significant success in maintaining facial consistency, i.e., identities, even with multiple characters. However, the lack of holistic consistency in scenes with multiple characters hampers these methods' ability to create a cohesive nar...
3DGS-LM: Faster Gaussian-Splatting Optimization with Levenberg-Marquardt
By Naomi Wilson
Posted on: September 25, 2024
We present 3DGS-LM, a new method that accelerates the reconstruction of 3D Gaussian Splatting (3DGS) by replacing its ADAM optimizer with a tailored Levenberg-Marquardt (LM). Existing methods reduce the optimization time by decreasing the number of Gaussians or by improving the implementation of the...
Training Language Models to Self-Correct via Reinforcement Learning
By Kate Martin
Posted on: September 25, 2024
Self-correction is a highly desirable capability of large language models (LLMs), yet it has consistently been found to be largely ineffective in modern LLMs. Existing approaches for training self-correction either require multiple models or rely on a more capable model or other forms of supervision...
