Cascade is a classic yet powerful architecture that has boosted performance on various tasks.
However, how to introduce cascade to instance segmentation remains an open question. …

MicroRNAs (miRNAs) are small non-coding RNAs (typically consisting of 18–25 nucleotides)
that negatively control expression of target genes at the post-transcriptional level. Owing to …

Recent work in unsupervised feature learning and deep learning has shown that being able
to train large models can dramatically improve performance. In this paper, we consider the …

Quantum key distribution (QKD) 1 , 2 has the potential to enable secure communication and
information transfer 3 . In the laboratory, the feasibility of point-to-point QKD is evident from …

CRC (cyclic redundancy check)-aided decoding schemes are proposed to improve the
performance of polar codes. A unified description of successive cancellation decoding and its …

Reactive oxygen species (ROS) function as intracellular signaling molecules in a diverse
range of biological processes. However, it is unclear how freely diffusible ROS dictate specific …

We propose two novel model architectures for computing continuous vector representations
of words from very large data sets. The quality of these representations is measured in a …

The recently introduced continuous Skip-gram model is an efficient method for learning high-quality
distributed vector representations that capture a large number of precise syntactic …

Large vision-language models (VLMs) have recently achieved remarkable progress,
exhibiting impressive multimodal perception and reasoning abilities. However, effectively …

We present MMDetection, an object detection toolbox that contains a rich set of object detection
and instance segmentation methods as well as related components and modules. The …