Summary of Unlabeled Debiasing in Downstream Tasks Via Class-wise Low Variance Regularization, by Shahed Masoudian et al.
Unlabeled Debiasing in Downstream Tasks via Class-wise Low Variance Regularizationby Shahed Masoudian, Markus Frohmann, Navid…
Unlabeled Debiasing in Downstream Tasks via Class-wise Low Variance Regularizationby Shahed Masoudian, Markus Frohmann, Navid…
Bound Tightening Network for Robust Crowd Countingby Qiming WuFirst submitted to arxiv on: 27 Sep…
Semantic Model Component Implementation for Model-driven Semantic Communicationsby Haotai Liang, Mengran Shi, Chen Dong, Xiaodong…
DiffSSC: Semantic LiDAR Scan Completion using Denoising Diffusion Probabilistic Modelsby Helin Cao, Sven BehnkeFirst submitted…
Improving Fast Adversarial Training via Self-Knowledge Guidanceby Chengze Jiang, Junkai Wang, Minjing Dong, Jie Gui,…
The Overfocusing Bias of Convolutional Neural Networks: A Saliency-Guided Regularization Approachby David Bertoin, Eduardo Hugo…
In-Context Ensemble Learning from Pseudo Labels Improves Video-Language Models for Low-Level Workflow Understandingby Moucheng Xu,…
Less yet robust: crucial region selection for scene recognitionby Jianqi Zhang, Mengxuan Wang, Jingyao Wang,…
Versatile Incremental Learning: Towards Class and Domain-Agnostic Incremental Learningby Min-Yeong Park, Jae-Ho Lee, Gyeong-Moon ParkFirst…
MulCPred: Learning Multi-modal Concepts for Explainable Pedestrian Action Predictionby Yan Feng, Alexander Carballo, Keisuke Fujii,…