Results 61 to 70 of about 7,363,707 (395)
Detecting Objects from No-Object Regions: A Context-Based Data Augmentation for Object Detection [PDF]
International Journal of Computational Intelligence Systems, 2021 Data augmentation is an important technique to improve the performance of deep learning models in many vision tasks such as object detection. Recently, some works proposed the copy-paste method, which augments training dataset by copying foreground objects and pasting them on background images.
Yutong Chun +4 more
openaire +2 more sources
Frustum PointNets for 3D Object Detection from RGB-D Data [PDF]
2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2017 In this work, we study 3D object detection from RGBD data in both indoor and outdoor scenes. While previous methods focus on images or 3D voxels, often obscuring natural 3D patterns and invariances of 3D data, we directly operate on raw point clouds by ...
C. Qi +4 more
semanticscholar +1 more source
Detecting the unknown in Object Detection
, 2022 Object detection methods have witnessed impressive improvements in the last years thanks to the design of novel neural network architectures and the availability of large scale datasets. However, current methods have a significant limitation: they are able to detect only the classes observed during training time, that are only a subset of all the ...
Fontanel, Dario +3 more
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Learning to Prompt for Open-Vocabulary Object Detection with Vision-Language Model [PDF]
Computer Vision and Pattern Recognition, 2022 Recently, vision-language pre-training shows great potential in open-vocabulary object detection, where detectors trained on base classes are devised for detecting new classes.
Yu Du +5 more
semanticscholar +1 more source
On the Distribution of Salient Objects in Web Images and its Influence on Salient Object Detection [PDF]
, 2015 It has become apparent that a Gaussian center bias can serve as an important prior for visual saliency detection, which has been demonstrated for predicting human eye fixations and salient object detection. Tseng et al. have shown that the photographer's
Boris Schauerte +14 more
core +5 more sources
Contextualizing Object Detection and Classification [PDF]
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2015 We investigate how to iteratively and mutually boost object classification and detection performance by taking the outputs from one task as the context of the other one. While context models have been quite popular, previous works mainly concentrate on co-occurrence relationship within classes and few of them focus on contextualization from a top-down ...
Chen, Qiang +5 more
openaire +4 more sources
Enhanced Sparse Detection for End-to-End Object Detection
IEEE Access, 2022 In this paper, we propose an enhanced end-to-end object detector based on Sparse R-CNN (EnSparse R-CNN), which aims at backbone, neck and head of object detector.
Yongwei Liao, Gang Chen, Runnan Xu
doaj +1 more source
PROB: Probabilistic Objectness for Open World Object Detection [PDF]
arXiv, 2022 Open World Object Detection (OWOD) is a new and challenging computer vision task that bridges the gap between classic object detection (OD) benchmarks and object detection in the real world. In addition to detecting and classifying seen/labeled objects, OWOD algorithms are expected to detect novel/unknown objects - which can be classified and ...
arxiv
Object Detection in 20 Years: A Survey [PDF]
Proceedings of the IEEE, 2019 Object detection, as of one the most fundamental and challenging problems in computer vision, has received great attention in recent years. Over the past two decades, we have seen a rapid technological evolution of object detection and its profound ...
Zhengxia Zou +3 more
semanticscholar +1 more source
An Object Detection Using Image Processing In Digital Forensics Science
JISR on Computing, 2018 Object detection is one of the most important sectors in digital forensics science. The object detection technique is valuable for a number of purposes for instance: medical diagnosis scanners, traffic monitoring system, airport security examination ...
Kamran Ali Changezi +1 more
doaj +1 more source