CaptainEven / Repnet Mdnet Vehiclereid
Licence: mit
Implementing RepNet(a two-stream multitask learning network) to do vehicle Re-identification, vehicle search(or vehicle match) with PyTorch 可用于车辆细粒度识别，车辆再识别，车辆匹配，车辆检索，RepNet/MDNet的一种PyTorch实现
Stars: ✭ 189
Programming Languages
python
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RepNet-Vehicle-ReID
Vehicle re-identification implementing RepNet
Vehicle ReID task:
Basic principle for vehicle ReID task:
Using a two-branch deep convolutional network to project raw vehicle images into an Euclidean space where distance can be directly used to measure the similarity of arbitrary two vehicles. For simplicity, triplet loss or coupled cluster loss is replaced here by arc loss which is widely used in face recognition.
Test result
Network structure:
Reference:
Deep Relative Distance Learning: Tell the Difference Between Similar Vehicles Learning a repression network for precise vehicle search
Dataset:
Pre-trained model
model extract code: 62wn
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