Autoencoder regularizationA saliency detection task simulates the attention mechanism of the human visual system, which focuses on what draws the most attention in a picture, and performs accurate localization and pixel-level segmentation of the object. Existing detection methods based on neural ...
Object detection can be used to spot hard-to-see items such as polyps or lesions that require a surgeon’s immediate attention. It’s also being used to inform hospital staff of the status of the operation. Defect Inspection Manufacturing companies can use object detection to spot defects in...
The success of transformer-based methods, ViT and MAE, draws the community's attention to the design of backbone architecture and self-supervised task. In this work, we show that current masked image encoding models learn the underlying relationship between all objects in the whole scene, instead...
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• FlashAttention:表5h。该表验证了FlashAttention在YOLOv12中的作用。它显示,FlashAttention在不增加其他成本的情况下,将YOLOv12-N加速了约0.3毫秒,将YOLOv12-S加速了约0.4毫秒。 可视化:热图对比。图5比较了YOLOv12与最先进的YOLOv10 [53]和YOLOv11 [28]的热图。这些热图从X-scale模型骨干网络的第三阶段...
Due to the high significance of 3D-DL in complex tasks such as self-driving cars, robotics, and virtual and augmented reality, it has attracted increasing attention in the last few years (Hamdi et al.2021). However, in the 3D-DL field, two fundamental challenges exist: i) the 3D data ...
masked autoencoder visual representation learning 1. Introduction Single object tracking is a fundamental task within the field of computer vision, aiming to persistently track an arbitrary target object across a video sequence starting from its initial condition [1–3]. In particular, the user provid...
We usePointVisualizaitonrepo to render beautiful point cloud images, including specified color rendering and attention distribution rendering. Acknowledgement This codebase is built uponLLaVA,OpenShape,ReConandPointGPT. Related Works Point-Bind & Point-LLM ...
[24] utilized an autoencoder to enhance low-light images in natural environments; Ref. [25] proposed an algorithm effective for both images and videos; and Ref. [26] applied curve parameter estimation for enhancement. These algorithms enhance low-light images before object detection, but this ...
Now that we have looked at object detection, let’s turn our attention to another class of problems: image segmentation.Segmentation Object detection finds bounding boxes around objects and classifies them. Instance segmentation adds, for every detected object, a pixel mask that gives the shape of...