10 citations · 31 across the 17 of their papers we have counts for
17 papers
DSMix: Distortion-Induced Sensitivity Map Based Pre-training for No-Reference Image Quality Assessment
Jinsong Shi, Pan Gao, Xiaojiang Peng +1
Image quality assessment (IQA) has long been a fundamental challenge in image understanding. In recent years, deep learning-based IQA methods have shown promising performance. Howe…
Generalizable Person Search on Open-world User-Generated Video Content
Junjie Li, Guanshuo Wang, Yichao Yan +5
Person search is a challenging task that involves detecting and retrieving individuals from a large set of un-cropped scene images. Existing person search applications are mostly t…
SIDE: Self-supervised Intermediate Domain Exploration for Source-free Domain Adaptation
Jiamei Liu, Han Sun, Yizhen Jia +3
Domain adaptation aims to alleviate the domain shift when transferring the knowledge learned from the source domain to the target domain. Due to privacy issues, source-free domain…
DiffusionEngine: Diffusion Model is Scalable Data Engine for Object Detection
Manlin Zhang, Jie Wu, Yuxi Ren +7
Data is the cornerstone of deep learning. This paper reveals that the recently developed Diffusion Model is a scalable data engine for object detection. Existing methods for scalin…
Unilaterally Aggregated Contrastive Learning with Hierarchical Augmentation for Anomaly Detection
Guodong Wang, Yunhong Wang, Jie Qin +3
Anomaly detection (AD), aiming to find samples that deviate from the training distribution, is essential in safety-critical applications. Though recent self-supervised learning bas…
AlignDet: Aligning Pre-training and Fine-tuning in Object Detection
Ming Li, Jie Wu, Xionghui Wang +6
The paradigm of large-scale pre-training followed by downstream fine-tuning has been widely employed in various object detection algorithms. In this paper, we reveal discrepancies…