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20062026
most citedDistance-IoU Loss: Faster and Better Learning for Bounding Box Regression

961 citations

Showing 2022 · cs.CVShow all

9 papers · 2 filters

cs.CV2022★ 5 cited

Face Super-Resolution with Progressive Embedding of Multi-scale Face Priors

Chenggong Zhang, Zhilei Liu

The face super-resolution (FSR) task is to reconstruct high-resolution face images from low-resolution inputs. Recent works have achieved success on this task by utilizing facial p…

cs.CV2022★ 67 cited

Memorizing Complementation Network for Few-Shot Class-Incremental Learning

Zhong Ji, Zhishen Hou, Xiyao Liu +2

Few-shot Class-Incremental Learning (FSCIL) aims at learning new concepts continually with only a few samples, which is prone to suffer the catastrophic forgetting and overfitting…

cs.CV2022★ 52 cited

AIParsing: Anchor-free Instance-level Human Parsing

Sanyi Zhang, Xiaochun Cao, Guo-Jun Qi +2

Most state-of-the-art instance-level human parsing models adopt two-stage anchor-based detectors and, therefore, cannot avoid the heuristic anchor box design and the lack of analys…

cs.CV2022★ 95 cited

CorrI2P: Deep Image-to-Point Cloud Registration via Dense Correspondence

Siyu Ren, Yiming Zeng, Junhui Hou +1

Motivated by the intuition that the critical step of localizing a 2D image in the corresponding 3D point cloud is establishing 2D-3D correspondence between them, we propose the fir…

cs.CV2022★ 28 cited

Multi-Granularity Regularized Re-Balancing for Class Incremental Learning

Huitong Chen, Yu Wang, Qinghua Hu

Deep learning models suffer from catastrophic forgetting when learning new tasks incrementally. Incremental learning has been proposed to retain the knowledge of old classes while…

cs.CV2022★ 2 cited

Cross-subject Action Unit Detection with Meta Learning and Transformer-based Relation Modeling

Jiyuan Cao, Zhilei Liu, Yong Zhang

Facial Action Unit (AU) detection is a crucial task for emotion analysis from facial movements. The apparent differences of different subjects sometimes mislead changes brought by…