Mart: Masked affective representation learning via masked temporal distribution distillation
Limited training data is a long-standing problem for video emotion analysis (VEA). Existing
works leverage the power of large-scale image datasets for transferring while failing to …
works leverage the power of large-scale image datasets for transferring while failing to …
Adapt or perish: Adaptive sparse transformer with attentive feature refinement for image restoration
Transformer-based approaches have achieved promising performance in image restoration
tasks given their ability to model long-range dependencies which is crucial for recovering …
tasks given their ability to model long-range dependencies which is crucial for recovering …
Extdm: Distribution extrapolation diffusion model for video prediction
Video prediction is a challenging task due to its nature of uncertainty especially for
forecasting a long period. To model the temporal dynamics advanced methods benefit from …
forecasting a long period. To model the temporal dynamics advanced methods benefit from …
Lake-red: Camouflaged images generation by latent background knowledge retrieval-augmented diffusion
Camouflaged vision perception is an important vision task with numerous practical
applications. Due to the expensive collection and labeling costs this community struggles …
applications. Due to the expensive collection and labeling costs this community struggles …
MCNet: Rethinking the Core Ingredients for Accurate and Efficient Homography Estimation
H Zhu, SY Cao, J Hu, S Zuo, B Yu… - Proceedings of the …, 2024 - openaccess.thecvf.com
Abstract We propose Multiscale Correlation searching homography estimation Network
namely MCNet an iterative deep homography estimation architecture. Different from …
namely MCNet an iterative deep homography estimation architecture. Different from …