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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
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CaptainEven/RepNet-MDNet-VehicleReID
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Vehicle re-identification implementing RepNet
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.
Deep Relative Distance Learning: Tell the Difference Between Similar Vehicles
Learning a repression network for precise vehicle search
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extract code: 62wn
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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
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