Since these models possess various fields of knowledge and are often trained with labels irrelevant to quality we propose an Intra-Consistency and Inter-Divisibility (ICID) loss to impose constraints on …

There-fore, we propose an Intra-Consistency and Inter-Divisibility (ICID) loss, which applies constraints on features extracted by multiple pretrained models from different samples.

To ensure consistency with typical MLP parameters, the hidden dimension of convolutional GLU is 2 3× of the set value. Fur-thermore, we set the head dimension to be 24 for divisibility by 3 in the channel …

To conform to the input size re-quirements of the Stable Diffusion Model, which necessi-tates divisibility by 8, the original images are resized from 540 × 960 to 576 × 960 using top padding.

In this context, the divisibility of the objects is particularly challenging since demerging due to previous merging must be distinguished from object divi-sion. Note that we will differentiate between object …

the downsam-pling factor, the last few feature frames are discarded until divisibility is ensured. Within the LLM, the synergy LoRA include a visual-specific module with a rank of 96 and an alp a of 192, as …

The latter two sets of values have been included to see if the properties of the different methods (discussed further be-low) depend on the divisibility of n. For the SOI methods, we use only the …

1. Training Details The training pipeline of SapiensID is largely similar to the setting of training a ViT model in face recognition [37]. This is possible because WebBody4M is a labeled dataset with a …