2 papers
cs.CV2023
Quantized Feature Distillation for Network Quantization
Ke Zhu, Yin-Yin He, Jianxin Wu
Neural network quantization aims to accelerate and trim full-precision neural network models by using low bit approximations. Methods adopting the quantization aware training (QAT)…
cs.CV2023
Coarse Is Better? A New Pipeline Towards Self-Supervised Learning with Uncurated Images
Ke Zhu, Yin-Yin He, Jianxin Wu
Most self-supervised learning (SSL) methods often work on curated datasets where the object-centric assumption holds. This assumption breaks down in uncurated images. Existing scen…