Search Results for author:
Found 4 papers, 2 papers with code
MABNet: Master Assistant Buddy Network with Hybrid Learning for Image Retrieval
We present a novel Master Assistant Buddy Network (MABNet) for image retrieval which incorporates both learning mechanisms.
On Designing Light-Weight Object Trackers through Network Pruning: Use CNNs or Transformers?
A comparison between SOTA trackers using CNNs, transformers as well as the combination of the two is presented to study their stability at various compression ratios.
Partial Binarization of Neural Networks for Budget-Aware Efficient Learning
To address this issue, partial binarization techniques have been developed, but a systematic approach to mixing binary and full-precision parameters in a single network is still lacking.
GPTs at Factify 2022: Prompt Aided Fact-Verification
We present our solution based on two approaches - PLM (pre-trained language model) based method and Prompt based method.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
