Results 31 to 40 of about 7,417,847 (369)
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks [PDF]
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2015 State-of-the-art object detection networks depend on region proposal algorithms to hypothesize object locations. Advances like SPPnet and Fast R-CNN have reduced the running time of these detection networks, exposing region proposal computation as a ...
Shaoqing Ren +3 more
semanticscholar +1 more source
Real-Time Flying Object Detection with YOLOv8 [PDF]
arXiv.org, 2023 This paper presents a generalized model for real-time detection of flying objects that can be used for transfer learning and further research, as well as a refined model that achieves state-of-the-art results for flying object detection.
Dillon Reis +3 more
semanticscholar +1 more source
Exploring Object-Centric Temporal Modeling for Efficient Multi-View 3D Object Detection [PDF]
IEEE International Conference on Computer Vision, 2023 In this paper, we propose a long-sequence modeling framework, named StreamPETR, for multi-view 3D object detection. Built upon the sparse query design in the PETR series, we systematically develop an object-centric temporal mechanism.
Shihao Wang +4 more
semanticscholar +1 more source
Feature Pyramid Networks for Object Detection [PDF]
Computer Vision and Pattern Recognition, 2016 Feature pyramids are a basic component in recognition systems for detecting objects at different scales. But pyramid representations have been avoided in recent object detectors that are based on deep convolutional networks, partially because they are ...
Tsung-Yi Lin +5 more
semanticscholar +1 more source
Cut and Learn for Unsupervised Object Detection and Instance Segmentation [PDF]
Computer Vision and Pattern Recognition, 2023 We propose Cut-and-LEaRn (CutLER), a simple approach for training unsupervised object detection and seg-mentation models. We leverage the property of self-supervised models to ‘discover’ objects without supervision and amplify it to train a state-of-the ...
Xudong Wang +3 more
semanticscholar +1 more source
A Novel Multi-Scale Transformer for Object Detection in Aerial Scenes
Drones, 2022 Deep learning has promoted the research of object detection in aerial scenes. However, most of the existing networks are limited by the large-scale variation of objects and the confusion of category features.
Guanlin Lu +5 more
doaj +1 more source
VoxelNet: End-to-End Learning for Point Cloud Based 3D Object Detection [PDF]
2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2017 Accurate detection of objects in 3D point clouds is a central problem in many applications, such as autonomous navigation, housekeeping robots, and augmented/virtual reality.
Yin Zhou, Oncel Tuzel
semanticscholar +1 more source
VoxelNeXt: Fully Sparse VoxelNet for 3D Object Detection and Tracking [PDF]
Computer Vision and Pattern Recognition, 2023 3D object detectors usually rely on hand-crafted proxies, e.g., anchors or centers, and translate well-studied 2D frameworks to 3D. Thus, sparse voxel features need to be densified and processed by dense prediction heads, which inevitably costs extra ...
Yukang Chen +4 more
semanticscholar +1 more source
Review of Deep Learning Applied to Occluded Object Detection [PDF]
Jisuanji kexue yu tansuo, 2022 Occluded object detection has long been a difficulty and hot topic in the field of computer vision. Based on convolutional neural network, the deep learning takes the object detection task as a classification and regression task to handle, and obtains ...
SUN Fangwei, LI Chengyang, XIE Yongqiang, LI Zhongbo, YANG Caidong, QI Jin
doaj +1 more source
TransFusion: Robust LiDAR-Camera Fusion for 3D Object Detection with Transformers [PDF]
Computer Vision and Pattern Recognition, 2022 LiDAR and camera are two important sensors for 3D object detection in autonomous driving. Despite the increasing popularity of sensor fusion in this field, the robustness against inferior image conditions, e.g., bad illumination and sensor misalignment ...
Xuyang Bai +6 more
semanticscholar +1 more source