Results 41 to 50 of about 7,417,847 (369)
3D Object Class Detection in the Wild [PDF]
, 2015 Object class detection has been a synonym for 2D bounding box localization for the longest time, fueled by the success of powerful statistical learning techniques, combined with robust image representations.
Gehler, Peter +4 more
core +1 more source
CenterNet: Keypoint Triplets for Object Detection [PDF]
IEEE International Conference on Computer Vision, 2019 In object detection, keypoint-based approaches often experience the drawback of a large number of incorrect object bounding boxes, arguably due to the lack of an additional assessment inside cropped regions. This paper presents an efficient solution that
Kaiwen Duan +5 more
semanticscholar +1 more source
Target-aware Dual Adversarial Learning and a Multi-scenario Multi-Modality Benchmark to Fuse Infrared and Visible for Object Detection [PDF]
Computer Vision and Pattern Recognition, 2022 This study addresses the issue of fusing infrared and visible images that appear differently for object detection. Aiming at generating an image of high visual quality, previous approaches discover commons underlying the two modalities and fuse upon the ...
Jinyuan Liu +6 more
semanticscholar +1 more source
Remote Sensing, 2022 In high-resolution earth observation systems, object detection in high spatial resolution remote sensing images (HSRIs) is the key technology for automatic extraction, analysis and understanding of image information.
Zhipeng Dong +5 more
doaj +1 more source
Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation [PDF]
2014 IEEE Conference on Computer Vision and Pattern Recognition, 2013 Object detection performance, as measured on the canonical PASCAL VOC dataset, has plateaued in the last few years. The best-performing methods are complex ensemble systems that typically combine multiple low-level image features with high-level context.
Ross B. Girshick +3 more
semanticscholar +1 more source
Center-based 3D Object Detection and Tracking [PDF]
Computer Vision and Pattern Recognition, 2020 Three-dimensional objects are commonly represented as 3D boxes in a point-cloud. This representation mimics the well-studied image-based 2D bounding-box detection but comes with additional challenges.
Tianwei Yin +2 more
semanticscholar +1 more source
Scaling Open-Vocabulary Object Detection [PDF]
Neural Information Processing Systems, 2023 Open-vocabulary object detection has benefited greatly from pretrained vision-language models, but is still limited by the amount of available detection training data.
M. Minderer, A. Gritsenko, N. Houlsby
semanticscholar +1 more source
Progressive Object Transfer Detection [PDF]
IEEE Transactions on Image Processing, 2020 Recent development of object detection mainly depends on deep learning with large-scale benchmarks. However, collecting such fully-annotated data is often difficult or expensive for real-world applications, which restricts the power of deep neural networks in practice.
Hao Chen +4 more
openaire +3 more sources
Illumination invariant stationary object detection [PDF]
, 2013 A real-time system for the detection and tracking of moving objects that becomes stationary in a restricted zone. A new pixel classification method based on the segmentation history image is used to identify stationary objects in the scene. These objects
Bhargav Mitra +7 more
core +1 more source
Video Object Detection Guided by Object Blur Evaluation
IEEE Access, 2020 In recent years, the excellent image-based object detection algorithms are transferred to the video object detection directly. These frame-by-frame processing methods are suboptimal owing to the degenerate object appearance such as motion blur, defocus ...
Yujie Wu +4 more
doaj +1 more source