ACTNET: end-to-end learning of feature activations and multi-stream aggregation for effective instance image retrieval

12 Jul 2019Syed Sameed HusainEng-Jon OngMiroslaw Bober

We propose a novel CNN architecture called ACTNET for robust instance image retrieval from large-scale datasets. Our key innovation is a learnable activation layer designed to improve the signal-to-noise ratio (SNR) of deep convolutional feature maps... (read more)

PDF Abstract


No code implementations yet. Submit your code now

Results from the Paper

  Submit results from this paper to get state-of-the-art GitHub badges and help the community compare results to other papers.