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Finding Efficient Pruned Network via Refined Gradients for Pruned Weights.

, , , , and . ACM Multimedia, page 9003-9011. ACM, (2023)

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Learning Dynamic Network Using a Reuse Gate Function in Semi-supervised Video Object Segmentation., , , , and . CoRR, (2020)Unsupervised Domain Adaptation for One-Stage Object Detector Using Offsets to Bounding Box., , and . ECCV (33), volume 13693 of Lecture Notes in Computer Science, page 691-708. Springer, (2022)SHOT: Suppressing the Hessian along the Optimization Trajectory for Gradient-Based Meta-Learning., , and . CoRR, (2023)Exploiting Inter-pixel Correlations in Unsupervised Domain Adaptation for Semantic Segmentation., , and . WACV (Workshops), page 12-21. IEEE, (2023)ProxyDet: Synthesizing Proxy Novel Classes via Classwise Mixup for Open-Vocabulary Object Detection., , , , and . AAAI, page 2462-2470. AAAI Press, (2024)Learning Dynamic Network Using a Reuse Gate Function in Semi-Supervised Video Object Segmentation., , , , and . CVPR, page 8405-8414. Computer Vision Foundation / IEEE, (2021)Mitigating the Bias in the Model for Continual Test-Time Adaptation., , , and . CoRR, (2024)HourglassNeRF: Casting an Hourglass as a Bundle of Rays for Few-shot Neural Rendering., , , , , and . CoRR, (2024)Finding Efficient Pruned Network via Refined Gradients for Pruned Weights., , , , and . ACM Multimedia, page 9003-9011. ACM, (2023)