134 citations · 134 across the 4 of their papers we have counts for
13 papers
Learning from Noisy Labels for Long-tailed Data via Optimal Transport
Mengting Li, Chuang Zhu
Noisy labels, which are common in real-world datasets, can significantly impair the training of deep learning models. However, recent adversarial noise-combating methods overlook t…
Negative Prototypes Guided Contrastive Learning for WSOD
Yu Zhang, Chuang Zhu, Guoqing Yang +1
Weakly Supervised Object Detection (WSOD) with only image-level annotation has recently attracted wide attention. Many existing methods ignore the inter-image relationship of insta…
Noisy Label Processing for Classification: A Survey
Mengting Li, Chuang Zhu
In recent years, deep neural networks (DNNs) have gained remarkable achievement in computer vision tasks, and the success of DNNs often depends greatly on the richness of data. How…
A Lane Usage Strategy for General Traffic Access on Bus Lanes under Mixed Traffic Environment
Haoran Li, Zhenzhou Yuan, Rui Yue +3
The strategy of permitting general traffic to use the bus lane for improved utilization while ensuring bus priority has gained increasingly attention, particularly with the support…
TorchAudio 2.1: Advancing speech recognition, self-supervised learning, and audio processing components for PyTorch
Jeff Hwang, Moto Hira, Caroline Chen +21
TorchAudio is an open-source audio and speech processing library built for PyTorch. It aims to accelerate the research and development of audio and speech technologies by providing…
Highly Efficient SNNs for High-speed Object Detection
Nemin Qiu, Zhiguo Li, Yuan Li +1
The high biological properties and low energy consumption of Spiking Neural Networks (SNNs) have brought much attention in recent years. However, the converted SNNs generally need…