4 citations · 6 across the 18 of their papers we have counts for
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cs.CV2023
Towards Weakly Supervised End-to-end Learning for Long-video Action Recognition
Jiaming Zhou, Hanjun Li, Kun-Yu Lin +1
Developing end-to-end action recognition models on long videos is fundamental and crucial for long-video action understanding. Due to the unaffordable cost of end-to-end training o…
cs.LG2023
Distilling the Unknown to Unveil Certainty
Zhilin Zhao, Longbing Cao, Yixuan Zhang +2
Out-of-distribution (OOD) detection is critical for identifying test samples that deviate from in-distribution (ID) data, ensuring network robustness and reliability. This paper pr…
cs.CV2023★ 4 cited
Diversifying Spatial-Temporal Perception for Video Domain Generalization
Kun-Yu Lin, Jia-Run Du, Yipeng Gao +2
Video domain generalization aims to learn generalizable video classification models for unseen target domains by training in a source domain. A critical challenge of video domain g…