[PDF] Top 20 Multi-Scale 3D Convolution Network for Video Based Person Re-Identification
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Multi-Scale 3D Convolution Network for Video Based Person Re-Identification
... on video based person ReID have signifi- cantly boosted the performance on existing ...generating video feature thorough pooling or weight learning (Liu et ...generate video features ... See full document
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STA: Spatial-Temporal Attention for Large-Scale Video-Based Person Re-Identification
... a person body should have different influences on the re- identification ...of person body and adopt traditional temporal attention model for frame ...first video- based ... See full document
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Spatial and Temporal Mutual Promotion for Video-Based Person Re-Identification
... Video-based person re-identification is a crucial task of matching video sequences of a person across multiple cam- era ...in video sequences is the key to solve ... See full document
8
Video Based Person Re Identification Through Selective Knowledge Distillation
... Chao Dong [3] proposed deep learning method for single image super-resolution. Initially, low- resolution image is given as input. The low-resolution image objects are represented in sparse graph. The points are stored ... See full document
5
Spatial-Temporal Person Re-Identification
... the person structure information, an- other group of researchers pay attention to spatial-temporal ...and video-based person ReID (Li et ...the video-based person ...era ... See full document
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Person Re-Identification based on Facial Features in Real Time Video Streaming Environments
... to video sequences ...so video contain spatio-temporal ...of multi frames and temporal information and multi poses of faces in videos make it possible to explore shape information of face and ... See full document
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Multi Modal Region Based Convolution Neural Network (MM RCNN) for Ethnicity Identification and Classification
... the person like ethnicity and ...ethnicity identification problem is considered as a classification problem and is solved by deep learning ...new multi-modal region based convolutional neural ... See full document
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Automatic Sex Identification Based on Convolution Neural Network and Least Square Method
... 1) Multi-angle images of the 3D digital skulls are achieved, which guarantees that the global characteristics can be ...sex identification based on skulls, which can achieve the depth ... See full document
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Semantic Adversarial Network with Multi-Scale Pyramid Attention for Video Classification
... large video dataset, ...segment network to perform sparse sampling and temporal fusion, which aims to learn from the entire ...containing 3D convolution filters and 3D pooling layers, ... See full document
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Vehicle logo Recognition Based on Convolutional Neural Network with Multi scale Parallel Layers
... In this paper, the study of the vehicle-logo identification involves in the top ten common brands: Volkswagen, Toyota, Mazda, Wuling, Citroen, Nissan, Audi, Mercedes-Benz, Honda, Buick. All the samples used for ... See full document
5
Deep person re identification in UAV images
... deep convolution neural networks to learn the optimal features for person re-identification task[1], it has demonstrated the impressive performance in this ...classic re-id approaches ... See full document
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Person Re-Identification
... graph based model is proposed to represent relationships, and for search and retrieval ...items based on similarity with an emphasis on ...camera network are ...large scale camera ... See full document
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Deep Multi level Feature Learning on Point Sets for 3D Object Recognition
... regular 3D voxel grids or collections of images before sending them to a deep network ...for 3D object recognition in depth learning can be roughly divided into three methods which including Muti- ... See full document
7
A Review on: Person Re identification and Summarization
... effective person re-identification in surveillance ...for person re-identification, because there are only limited training image pairs to learn a metric in person ... See full document
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Multi Modal Iris Recognition System based on Convolution Neural Network
... large scale application. One of large scale application, which brought diverse population, is inclusion of iris trait in AADHAR card in ...bio-metric identification system ...for ... See full document
6
LEARNING INVARIANT COLOUR FEATURES FOR PERSON RE-IDENTIFICATION
... In this paper we propose an DRLBP feature extraction to detect faces from input images. The feature extraction first detects the faces using RGB colour model and divides the face region into blocks of equal size. After, ... See full document
6
3D Firework Reconstruction from a Given Videos
... The size of videos in dataset is (96, 600, 800, 3), and all the spatial frames in each video are reshaped into (300, 400, 3) to extract features from modified inception V3 models. The length of features for each ... See full document
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Learning Incremental Triplet Margin for Person Re-Identification
... an multi-stage ...is re- peatedly applied so that the margin gets increased in an in- cremental ...the network contain more detailed information and are thus helpful to differentiate identities with ... See full document
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Person Re-Identification by Learning Invariant Color Features
... Histogram equalization (HE) is popular method of contrast adjustment using the images histogram and also enhances a given image. In this method, transformation T is to be designed in such a way that the gray value in the ... See full document
5
Backbone Cannot Be Trained at Once: Rolling Back to Pre-Trained Network for Person Re-Identification
... In person re-identification (ReID) task, because of its short- age of trainable dataset, it is common to utilize fine-tuning method using a classification network pre-trained on a large ...the ... See full document
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