Revisiting Binary Local Image Description for Resource Limited Devices
The authors introduced two new binary image descriptors, BAD and HashSIFT, to improve matching efficiency on resource-limited devices. They achieved this by adapting deep learning techniques like triplet ranking loss and hard negative mining to traditional features. This established new trade-off points between descriptor accuracy and computational cost.