We also combine transformer- and convolution-based detectors with weighted box fusion, achieving an additional2.4%\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts}
To solved these problems, in our query design, object queries are based on anchor points, which are widely used in CNN-based detectors. So each object query focuses on the objects near the anchor point. Moreover, our query design can predict multiple objects at one position to solve the ...
On Pascal VOC 2007, XFCOS attains 54.7 AP and 60.7 AP75 - surpassing DETR by 4.5 AP and 7.9 AP75 respectively, establishing new benchmarks among ResNet-50-based detectors. The model shows particular strength in small object detection, achieving 24.0 APS and 43.9 APM on COCO 2017, ...
Why should I choose Baidu's RT-DETR over other real-time object detectors? Baidu's RT-DETR stands out due to its efficient hybrid encoder and IoU-aware query selection, which drastically reduce computational costs while maintaining high accuracy. Its unique ability to adjust inference speed by ...
2. Related Work Detection: Mainstream detection algorithms have been dom- inated by convolutional neural network-based frameworks, until recently Transformer-based detectors [1, 15, 18, 32] achieve great progress. DETR [1] is the first end-to-end and query...
When processing language, the brain is thought to deploy specialized computations to construct meaning from complex linguistic structures. Recently, artificial neural networks based on the Transformer architecture have revolutionized the field of natural
3 shows the significant differences in traffic flow data recorded by different detectors within a single day. This is because, in real-world road traffic, congestion often occurs for various reasons and is transitive-i.e., congestion at one point can affect surrounding points. Furthermore, ...
{OrientedFormer: An End-to-End Transformer-Based Oriented Object Detector in Remote Sensing Images}, year={2024}, volume={62}, number={}, pages={1-16}, keywords={Encoding;Object detection;Proposals;Detectors;Remote sensing;Current transformers;Position measurement;End-to-end detectors;oriented ...
Abstract Many people today get their news from social media. It is possible to propagate news using textual, visual, or multi-modal information. The popularity of social networks and their wide use by people make them attractive platforms for spreading fake news. Detecting fake news is essential...
Applying the parallel tempered Metropolis-coupled reversible-jump Markov chain Monte Carlo (MCMC) method to the synthetic concentration data, he has reconstructed source locations, numbers, and emission rates from limited number of detectors. Delle Monache et al. (2008) have employed a methodology ...