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2019

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May 28, 2021
May 28, 2021

2019

No. Figure Title features Results Pub. Links
1 ICASSP) All for One: Frame-wise Rank Loss for Improving Video-based Person Re-identification Resnet50 + GRU + Rankloss PRID(Rank1=75.17%) Mars(Rank1=77.27%,mAP=64.76%) ICASSP2019 paper
2 ITIP Spatial-Temporal Attention-aware Learning for Video-based Person Re-identification GoogleNet + STAL iLIDS-VID(Rank1=82.8%) PRID(Rank1=92.7%) Mars(Rank1=82.2%,mAP=73.5%) ITIP2019 paper
3 Access Joint Attentive Spatial-Temporal Feature Aggregation for Video-Based Person Re-Identification FCN + attention iLIDS-VID(Rank1=76%) PRID(Rank1=97.4%) Mars(Rank1=89.3%,mAP=74.9%) IEEE Access paper
4 Access k-Reciprocal Harmonious Attention Network for Video-Based Person Re-Identification Resnet50 + Attention iLIDS-VID(Rank1=80.3%) PRID(Rank1=90.0%) Mars(Rank1=84.9%,mAp=76.7%) IEEE Access paper
5 arixv Intra-clip Aggregation for Video Person Re-identification Resnet50 + Synchronized Transformation (ST) and Intra-clip Aggregation (ICA) iLIDS-VID(Rank1=88.7%) Mars(Rank1=86.0%,mAP=80.8%) Arxiv 2019 paper
6 arixv Video-based Person Re-identification with Two-stream Convolutional Network and Co-attentive Snippet Embedding Resnet50 + Attention + Pose and Optical map iLIDS-VID(Rank1=88.7%) PRID(Rank1=94.4%) Arxiv 2019 paper
7 cvpr2019 Attribute-Driven Feature Disentangling and Temporal Aggregation for Video Person Re-Identification Resnet50 + attribute learning iLIDS-VID(Rank1=86.3%) PRID(Rank1=93.9%) Mars(Rank1=82.6%,mAP=71.2%) CVPR2019 paper
8 cvpr2019 VRSTC: Occlusion-Free Video Person Re-Identification Resnet50 + Attention + GAN iLIDS-VID(Rank1=83.4%) Mars(Rank1=88.5%,mAP=82.3%) DukeMTMC(Rank1=95.0%,mAP=93.5%) CVPR2019 paper
9 BMVC2019 Spatially and Temporally Efficient Non-local Attention Network for Video-based Person Re-Identification Resnet50 + Non-Local Mars(Rank1=90%,mAP=82.8%) DukeMTMC(Rank1=96.3%,mAP=94.9%) BMVC2019 paper code
10 ICCV2019 Global-Local Temporal Representations For Video Person Re-Identification Resnet50 + parallel dilated convolutions + temporal self-attention Mars(Rank1=87.02%,mAP=78.47%) DukeMTMC(Rank1=96.29%,mAP=93.74%) iLIDS-VID(Rank1=86.0%) PRID(Rank1=95.5%) LS-VID(Rank1=63.07%,mAP=44.32%) ICCV2019 paper
11 IEEE TIP Adaptive Graph Representation Learning for Video Person Re-identification Resnet50 + pose alignment + GNN Mars(Rank1=89.8%,mAP=81.1%) DukeMTMC(Rank1=97.0%,mAP=95.4%) iLIDS-VID(Rank1=84.5%) PRID(Rank1=94.6%) IEEE TIP paper
12 ICCV2019 Co-Segmentation Inspired Attention Networks for Video-Based Person Re-Identification SE-Resnet50 + Cosegmentation based Attention Module(COSAM) Mars(Rank1=84.9%,mAP=79.9%) DukeMTMC(Rank1=95.4%,mAP=94.1%) iLIDS-VID(Rank1=79.61%) ICCV2019 paper
13 AAAI2019 STA: Spatial-Temporal Attention for Large-Scale Video-based Person Re-Identification Resnet50 + Local Attention Mars(Rank1=86.3%,mAP=80.8%) DukeMTMC(Rank1=96.2%,mAP=94.9%) AAAI2019 paper