Here are model checkpoints for baseline SPOT.
Using DINO2 S/14 for encoding.
Models are trained on datasets ClevrTex, COCO and VOC, with random seeds 42, 43 and 44.
Input resolution is 256x256 (224x224).

Here are model checkpoints for our SmoothSA.
Using DINO2 S/14 for encoding.
Models are trained on datasets ClevrTex, COCO, VOC, MOVi-C/D and YTVIS (high quality), with random seeds 42, 43 and 44.
Input resolution is 256x256 (224x224).

Here are model checkpoints for object recognition models powered by SmoothSA and SPOT.
Using DINO2 S/14 for encoding.
Models are trained on dataset COCO and YTVIS (high quality), with random seeds 42, 43 and 44.
Input resolution is 256x256 (224x224).
Slot matching threshold is 1e-3@IoU for COCO and 1e-1@IoU for YTVIS.