Titlebook: Computer Vision – ACCV 2020; 15th Asian Conferenc Hiroshi Ishikawa,Cheng-Lin Liu,Jianbo Shi Conference proceedings 2021 Springer Nature Swi

sparse

COG: COnsistent Data AuGmentation for Object Perceptionow that our method COG’s performance is superior to its competitor on detection and instance segmentation tasks. In addition, the results manifest the robustness of COG when faced with hyper-parameter variations, etc.

SPECT

Verify

脊椎動物

集中營

遵循的規(guī)范

潔凈

https://doi.org/10.1007/978-3-642-67047-3act from the last convolutional layer and show that kernels identified are symbolic in that they react strongly to sets of similar images that effectively divide output classes into sub-classes with distinct characteristics.

Abominate

凝視

faultfinder

Adaptive Spotting: Deep Reinforcement Object Search in 3D Point Clouds be searched. This network is successfully trained in an end-to-end manner by integrating a contrastive loss and a reinforcement localization reward. Evaluations on ModelNet40 and Stanford 2D-3D-S datasets demonstrate the superiority of the proposed approach over several state-of-the-art baselines.