Survey of video human action recognition using deep neural networks Deep Neural Networks in Video Human Action Recognition: A Review arXiv paper abstract https://arxiv.org/abs/2305.15692 arXiv PDF paper https://arxiv.org/pdf/2305.15692.pdf Currently, video behavior recognition is one of the most foundational tasks of computer vision. … The researchers have widely studied video-based recognition…

Survey of self-supervised learning for point cloud data Self-Supervised Learning for Point Clouds Data: A Survey arXiv paper abstract https://arxiv.org/abs/2305.11881 arXiv PDF paper https://arxiv.org/pdf/2305.11881.pdf 3D point clouds are a crucial … data collected by LiDAR sensors and widely used in transportation applications due to its concise descriptions and accurate localization. …

Survey of self-supervised learning using images for generative and discriminative training Know Your Self-supervised Learning: A Survey on Image-based Generative and Discriminative Training arXiv paper abstract https://arxiv.org/abs/2305.13689 arXiv PDF paper https://arxiv.org/pdf/2305.13689.pdf Although supervised learning has been … successful in … computer vision in the past, the … improvement has diminished…

Indoor 3D scene reconstruction 10x faster learn and 100x faster render using sparse voxels with Dong Fast Monocular Scene Reconstruction with Global-Sparse Local-Dense Grids arXiv paper abstract https://arxiv.org/abs/2305.13220 arXiv PDF paper https://arxiv.org/pdf/2305.13220.pdf Indoor scene reconstruction from monocular images … advances in neural field representations and monocular priors have led to…

Survey of YOLO from YOLOV1 to YOLOv8 and YOLO-NAS A Comprehensive Review of YOLO: From YOLOv1 and Beyond arXiv paper abstract https://arxiv.org/abs/2304.00501 arXiv PDF paper https://arxiv.org/pdf/2304.00501.pdf YOLO has become a central real-time object detection system for robotics, driverless cars, and video monitoring applications. … present a comprehensive analysis of YOLO’s…

Survey of question answering on images Visual Question Answering: A Survey on Techniques and Common Trends in Recent Literature arXiv paper abstract https://arxiv.org/abs/2305.11033 arXiv PDF paper https://arxiv.org/pdf/2305.11033.pdf Visual Question Answering (VQA) is an emerging area of interest for researches, being a recent problem in natural language processing and image prediction. …

Survey of vision transformers and hybrid CNN-transformer variants A survey of the Vision Transformers and its CNN-Transformer based Variants arXiv paper abstract https://arxiv.org/abs/2305.09880 arXiv PDF paper https://arxiv.org/ftp/arxiv/papers/2305/2305.09880.pdf Vision transformers have recently become popular as a possible alternative to convolutional neural networks (CNNs) for a variety of computer vision applications.

Deblur, super-resolution, and inpainting using an efficient diffusion model with DiffPIR Denoising Diffusion Models for Plug-and-Play Image Restoration arXiv paper abstract https://arxiv.org/abs/2305.08995 arXiv PDF paper https://arxiv.org/pdf/2305.08995.pdf GitHub https://github.com/yuanzhi-zhu/DiffPIR Plug-and-play Image Restoration (IR) … a flexible and interpretable method for solving various inverse problems by utilizing any off-the-shelf denoiser as the…

Segment objects by learning a stable hardness value for pixels with Hardness-Level-Learning Not All Pixels Are Equal: Learning Pixel Hardness for Semantic Segmentation arXiv paper abstract https://arxiv.org/abs/2305.08462 arXiv PDF paper https://arxiv.org/pdf/2305.08462.pdf GitHub https://github.com/Menoly-xin/Hardness-Level-Learning Semantic segmentation … in some hard areas (e.g., small objects or thin parts) is still not promising.