Human Semantic Parsing for Person Re-identification

Person re-identification is a challenging task mainly due to factors such as background clutter, pose, illumination and camera point of view variations. These elements hinder the process of extracting robust and discriminative representations, hence preventing different identities from being successfully distinguished... (read more)

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TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK RESULT BENCHMARK
Person Re-Identification Market-1501 SPreID [kalayeh2018human] Rank-1 93.6 # 24
MAP 83.3 # 34

Methods used in the Paper


METHOD TYPE
Average Pooling
Pooling Operations
Auxiliary Classifier
Miscellaneous Components
1x1 Convolution
Convolutions
RMSProp
Stochastic Optimization
Inception-v3 Module
Image Model Blocks
Max Pooling
Pooling Operations
Softmax
Output Functions
Convolution
Convolutions
Dropout
Regularization
Dense Connections
Feedforward Networks
Label Smoothing
Regularization
Inception-v3
Convolutional Neural Networks