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cs.CV2024
NoisyEQA: Benchmarking Embodied Question Answering Against Noisy Queries
Tao Wu, Chuhao Zhou, Yen Heng Wong +2
The rapid advancement of Vision-Language Models (VLMs) has significantly advanced the development of Embodied Question Answering (EQA), enhancing agents' abilities in language unde…
cs.CV2024
Enhancing Dataset Distillation via Label Inconsistency Elimination and Learning Pattern Refinement
Chuhao Zhou, Chenxi Jiang, Yi Xie +2
Dataset Distillation (DD) seeks to create a condensed dataset that, when used to train a model, enables the model to achieve performance similar to that of a model trained on the e…