Massive data corpora like WebText, Wikipedia, Conceptual Captions, WebImageText, and
LAION have propelled recent dramatic progress in AI. Large neural models trained on such …

Abstract Panoptic Scene Graph generation (PSG) is a recently proposed task in image
scene understanding that aims to segment the image and extract triplets of subjects, objects …

Large vocabulary object detectors are often faced with the long-tailed label distributions,
seriously degrading their ability to detect rarely seen categories. On one hand, the rare …

Long-tailed object detection faces great challenges because of its extremely imbalanced
class distribution. Recent methods mainly focus on the classification bias and its loss …

In autonomous driving systems, the monocular 3D object detection algorithm is a crucial
component. The safety of autonomous vehicles heavily depends on a well-designed …

There is growing interest in the challenging visual perception task of learning from long-
tailed class distributions. The extreme class imbalance in the training dataset biases the …

The long-tailed distribution is a common phenomenon in the real world. Extracted large
scale image datasets inevitably demonstrate the long-tailed property and models trained …

The activation function plays a crucial role in model optimisation, yet the optimal choice
remains unclear. For example, the Sigmoid activation is the de-facto activation in balanced …

Skeleton-based action recognition has recently made significant progress. However, data
imbalance is still a great challenge in real-world scenarios. The performance of current …

Learning object detectors under long-tailed data distribution is challenging and has been
widely studied recently, the prior works mainly focus on balancing the learning signal of …