Media Summary: Improving the Generalization of Segmentation Foundation Model under Distribution Shift via Weakly Supervised Adaptation. CVPR 2024 - Blind Image Quality Assessment Based on Geometric Order Learning [CVPR 2024] Compositional Video Understanding with Spatiotemporal Structure based Transformers
Cvpr 2024 Wesam - Detailed Analysis & Overview
Improving the Generalization of Segmentation Foundation Model under Distribution Shift via Weakly Supervised Adaptation. CVPR 2024 - Blind Image Quality Assessment Based on Geometric Order Learning [CVPR 2024] Compositional Video Understanding with Spatiotemporal Structure based Transformers Authors: Shuai Yuan, Lei Luo, Zhuo Hui, Can Pu, Xiaoyu Xiang, Rakesh Ranjan, Denis Demandolx (Meta Reality Labs) Paper: ... Today, state-of-the-art deep neural networks that process event-camera data first convert a temporal window of events into dense, ... 5min short intro of Visual Program Distillation: Distilling Tools and Programmatic Reasoning into Vision-Language Models (
Rameen Abdal, James Burgess, Sergey Tulyakov, Kuan-Chieh Wang Snap Research , Stanford University ...