Results 51 to 60 of about 7,363,707 (395)

PETR: Position Embedding Transformation for Multi-View 3D Object Detection [PDF]

open access: yesEuropean Conference on Computer Vision, 2022
In this paper, we develop position embedding transformation (PETR) for multi-view 3D object detection. PETR encodes the position information of 3D coordinates into image features, producing the 3D position-aware features. Object query can perceive the 3D
Yingfei Liu   +3 more
semanticscholar   +1 more source

YOLOv7-3D: A Monocular 3D Traffic Object Detection Method from a Roadside Perspective

open access: yesApplied Sciences, 2023
Current autonomous driving systems predominantly focus on 3D object perception from the vehicle’s perspective. However, the single-camera 3D object detection algorithm in the roadside monitoring scenario provides stereo perception of traffic objects ...
Zixun Ye   +3 more
doaj   +1 more source

Fast Recognition and Counting Method of Dragon Fruit Flowers and Fruits Based on Video Stream

open access: yesSensors, 2023
Dragon fruit (Hylocereus undatus) is a tropical and subtropical fruit that undergoes multiple ripening cycles throughout the year. Accurate monitoring of the flower and fruit quantities at various stages is crucial for growers to estimate yields, plan ...
Xiuhua Li   +5 more
doaj   +1 more source

Salient object detection: A survey [PDF]

open access: yesComputational Visual Media, 2019
Detecting and segmenting salient objects from natural scenes, often referred to as salient object detection, has attracted great interest in computer vision. While many models have been proposed and several applications have emerged, a deep understanding of achievements and issues remains lacking.
Jia Li   +4 more
openaire   +5 more sources

Video Object Detection Guided by Object Blur Evaluation

open access: yesIEEE 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

Seeing Objects as Faces Enhances Object Detection [PDF]

open access: yesi-Perception, 2015
The face is a special visual stimulus. Both bottom-up processes for low-level facial features and top-down modulation by face expectations contribute to the advantages of face perception. However, it is hard to dissociate the top-down factors from the bottom-up processes, since facial stimuli mandatorily lead to face awareness.
Kohske Takahashi, Katsumi Watanabe
openaire   +4 more sources

Localization Distillation for Object Detection

open access: yesIEEE Transactions on Pattern Analysis and Machine Intelligence, 2023
Previous knowledge distillation (KD) methods for object detection mostly focus on feature imitation instead of mimicking the prediction logits due to its inefficiency in distilling the localization information. In this paper, we investigate whether logit mimicking always lags behind feature imitation.
Zhaohui Zheng   +6 more
openaire   +3 more sources

Multi-Oriented Object Detection in High-Resolution Remote Sensing Imagery Based on Convolutional Neural Networks with Adaptive Object Orientation Features

open access: yesRemote 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

Illumination invariant stationary object detection [PDF]

open access: yes, 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

Salient Object Detection: A Benchmark [PDF]

open access: yesIEEE Transactions on Image Processing, 2015
We extensively compare, qualitatively and quantitatively, 40 state-of-the-art models (28 salient object detection, 10 fixation prediction, 1 objectness, and 1 baseline) over 6 challenging datasets for the purpose of benchmarking salient object detection and segmentation methods.
Huaizu Jiang   +3 more
openaire   +5 more sources

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