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SINet: Extreme Lightweight Portrait Segmentation Networks with Spatial Squeeze Modules and Information Blocking Decoder.

, , , , and . CoRR, (2019)

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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)Efficient Active Learning for Automatic Speech Recognition via Augmented Consistency Regularization., , , and . CoRR, (2020)Beyond Semantic to Instance Segmentation: Weakly-Supervised Instance Segmentation via Semantic Knowledge Transfer and Self-Refinement., , , and . CoRR, (2021)SINet: Extreme Lightweight Portrait Segmentation Networks with Spatial Squeeze Modules and Information Blocking Decoder., , , , and . CoRR, (2019)ExtremeC3Net: Extreme Lightweight Portrait Segmentation Networks using Advanced C3-modules., , , and . CoRR, (2019)Gaussian Mixture Proposals with Pull-Push Learning Scheme to Capture Diverse Events for Weakly Supervised Temporal Video Grounding., , , , and . CoRR, (2023)Topic-VQ-VAE: Leveraging Latent Codebooks for Flexible Topic-Guided Document Generation., and . CoRR, (2023)Action-Decision Networks for Visual Tracking with Deep Reinforcement Learning., , , , and . CVPR, page 1349-1358. IEEE Computer Society, (2017)SSUL: Semantic Segmentation with Unknown Label for Exemplar-based Class-Incremental Learning., , , and . NeurIPS, page 10919-10930. (2021)