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Superpixel-based semantic segmentation trained by statistical process control.

, , , and . BMVC, BMVA Press, (2017)

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An Empirical Evaluation on Robustness and Uncertainty of Regularization Methods., , , , , and . CoRR, (2020)Action-Driven Visual Object Tracking With Deep Reinforcement Learning., , , , and . IEEE Trans. Neural Networks Learn. Syst., 29 (6): 2239-2252 (2018)SSUL: Semantic Segmentation with Unknown Label for Exemplar-based Class-Incremental Learning., , , and . NeurIPS, page 10919-10930. (2021)Action-Decision Networks for Visual Tracking with Deep Reinforcement Learning., , , , and . CVPR, page 1349-1358. IEEE Computer Society, (2017)EResFD: Rediscovery of the Effectiveness of Standard Convolution for Lightweight Face Detection., , , and . WACV, page 977-987. IEEE, (2024)Visual surveillance briefing system: Event-based video retrieval and summarization., , , , and . AVSS, page 204-209. IEEE Computer Society, (2014)Variational Autoencoded Regression: High Dimensional Regression of Visual Data on Complex Manifold., , , , and . CVPR, page 2943-2952. IEEE Computer Society, (2017)CutMix: Regularization Strategy to Train Strong Classifiers With Localizable Features., , , , , and . ICCV, page 6022-6031. IEEE, (2019)Beyond Semantic to Instance Segmentation: Weakly-Supervised Instance Segmentation via Semantic Knowledge Transfer and Self-Refinement., , , and . CVPR, page 4268-4277. IEEE, (2022)Gaussian Mixture Proposals with Pull-Push Learning Scheme to Capture Diverse Events for Weakly Supervised Temporal Video Grounding., , , , and . AAAI, page 2795-2803. AAAI Press, (2024)