Results 21 to 30 of about 172,393 (261)
Volumetric Semantic Segmentation Using Pyramid Context Features [PDF]
2013 IEEE International Conference on Computer Vision, 2013 We present an algorithm for the per-voxel semantic segmentation of a three-dimensional volume. At the core of our algorithm is a novel "pyramid context" feature, a descriptive representation designed such that exact per-voxel linear classification can be made extremely efficient.
Jonathan T, Barron +5 more
openaire +2 more sources
An Enhanced Feature Pyramid Object Detection Network for Autonomous Driving
Applied Sciences, 2019 Feature Pyramid Network (FPN) builds a high-level semantic feature pyramid and detects objects of different scales in corresponding pyramid levels. Usually, features within the same pyramid levels have the same weight for subsequent object detection ...
Yutian Wu +3 more
doaj +1 more source
Beyond Gaussian Pyramid: Multi-skip Feature Stacking for Action Recognition [PDF]
, 2015 Most state-of-the-art action feature extractors involve differential operators, which act as highpass filters and tend to attenuate low frequency action information. This attenuation introduces bias to the resulting features and generates ill-conditioned
Hauptmann, Alexander G. +4 more
core +1 more source
, 2020 Published at the European Conference on Computer Vision ...
ZHANG, Dong +5 more
openaire +4 more sources
Scale Pyramid Attention for Single Shot MultiBox Detector
IEEE Access, 2019 Feature pyramid mechanism has improved the performance of object detectors by a large margin, especially for the objects with small scale. As one of the first attempts to use pyramidal feature hierarchy, Single Shot MultiBox Detector (SSD) has largely ...
Jie Hao +5 more
doaj +1 more source
IET Computer Vision, 2023 High quality feature fusion module is one of the key components for multispectral pedestrian detection system in challenging situations, such as large‐scale variance and occlusion.
Xin Zuo +3 more
doaj +1 more source
Fourier-based Rotation-invariant Feature Boosting: An Efficient Framework for Geospatial Object Detection [PDF]
, 2019 Geospatial object detection of remote sensing imagery has been attracting an increasing interest in recent years, due to the rapid development in spaceborne imaging.
Chanussot, Jocelyn +5 more
core +4 more sources
Proceedings of the 2019 on International Conference on Multimedia Retrieval, 2019 In recent years, deep-networks-based hashing has become a leading approach for large-scale image retrieval. Most deep hashing approaches use the high layer to extract the powerful semantic representations. However, these methods have limited ability for fine-grained image retrieval because the semantic features extracted from the high layer are ...
Yang, Yifan +4 more
openaire +2 more sources
AtICNet: semantic segmentation with atrous spatial pyramid pooling in image cascade network
EURASIP Journal on Wireless Communications and Networking, 2019 This paper describes a new type of image segmentation method based on deep convolutional neural networks (DCNN) in the actual autonomous driving scene.
Jin Chen, Chuanya Wang, Ying Tong
doaj +1 more source