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Object Centric Learning Framework
Bridging the Gap to Real-World Object-Centric Learning
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Object Centric Learning Framework
Overview
Tutorial
Tutorial
Installation
Usage
Models
Datasets
Experiments
Configuration
Configuration
training_config
cluster
cluster
mlflow_logging
slurm
dataset
dataset
cater
cater6
cater6_image
cater_image
clevr
clevr6
clevrer
coco
coco2014_20k
coco_nocrowd
dummy_dataset
movi_c
movi_c_image
movi_e
movi_e_image
voc2012
voc2012_trainaug
voc2012_trainval
experiment
experiment
projects
projects
bridging
bridging
dinosaur
dinosaur
_base_feature_recon
_metrics_clevr_patch
_metrics_coco
_preprocessing_coco_dino_feature_recon_ccrop
_preprocessing_coco_dino_feature_recon_origres
_preprocessing_coco_dino_feature_recon_randcrop
_preprocessing_coco_imagenet_feature_recon
_preprocessing_movi_dino_feature_recon
_preprocessing_voc2012_segm_dino_feature_recon
coco_feat_rec_dino_base16
coco_feat_rec_dino_base16_auto
coco_feat_rec_dino_small16_auto
coco_feat_rec_in_base16_auto
coco_feat_rec_in_small16_auto
coco_feat_rec_resnet50
movi_c_feat_rec
movi_c_feat_rec_auto
movi_e_feat_rec
movi_e_feat_rec_auto
voc2012_trainaug_feat_rec_dino_base16_auto
experiment_image_feature_rec
experiment_image_feature_rec
_base
_metrics_coco_image
_preprocessing_coco_dino_feature_recon
_preprocessing_coco_dino_image_recon
_preprocessing_coco_resnet_feature_recon
coco_feat_rec_dino_base16_fine
coco_feat_rec_dino_base16_frozen
coco_feat_rec_dino_base16_resnet_scratch
coco_feat_rec_dino_base16_scratch
coco_image_rec_base16_fine
coco_image_rec_base16_frozen
coco_image_rec_base16_scratch
slot_attention
slot_attention
_base_large
_metrics_clevr
_metrics_coco
_preprocessing_coco
_preprocessing_movi
_preprocessing_voc2012_trainaug
coco
movi_c
movi_e
voc2012_trainaug
SAVi
SAVi
cater
clevrer
clevrer_highres
SAVi_code
SAVi_code
cater
cater_savi_with_predictor
_output_path
clip
clip
coco_finetuning
examples
examples
hp_scheduling
parameter_groups
slot_masking
occluded_slot_attention
occluded_slot_attention
clevr6
slate
slate
_base
_base_large
_clevr_preprocessing
_metrics_clevr_patch
_metrics_masks
_movi_preprocessing
_preprocessing_coco
_preprocessing_voc2012_trainaug
clevr6
coco
movi_c
movi_e
voc2012_trainaug
slot_attention
slot_attention
_base
_base_large
_base_optical_flow
_metrics_clevr
_metrics_coco
_preprocessing_cater
_preprocessing_clevr
_preprocessing_coco
_preprocessing_movi
_preprocessing_voc2012_trainaug
cater10
cater6
clevr10
clevr10_lds
clevr6
coco
movi_c
movi_c_optical_flow
movi_e
voc2012_trainaug
evaluation_config
evaluation_clustering_config
evaluation
evaluation
projects
projects
bridging
bridging
_base_clustering
_base_metrics
_classes_coco
_classes_coco_coarse
_classes_voc
_metrics_add_ignore_mask
_metrics_discovery_bboxes
_metrics_discovery_masks
_metrics_discovery_movi
_metrics_segmentation
_preprocessing_coco
_preprocessing_coco_27
_preprocessing_coco_things
_preprocessing_coco_thingsandstuff
_preprocessing_movi_c
_preprocessing_movi_e
_preprocessing_to_ccrop_320_masks
_preprocessing_to_ccrop_image
_preprocessing_voc2012
_preprocessing_voc2012_trainaug
clustering_coco
clustering_coco_20k
clustering_coco_27
clustering_coco_cls
clustering_coco_thingsandstuff
clustering_voc2012
metrics_coco
metrics_coco_20k
metrics_coco_ccrop
metrics_coco_ccrop_random
metrics_coco_ccrop_sa
metrics_movi_c
metrics_movi_c_sa
metrics_movi_e
metrics_movi_e_sa
metrics_movi_random
metrics_voc2012_bboxes
metrics_voc2012_masks
metrics_voc2012_masks_ccrop
metrics_voc2012_masks_ccrop_random
metrics_voc2012_masks_ccrop_sa
outputs_coco_ccrop
outputs_coco_ccrop_sa
outputs_coco_ccrop_slots
outputs_coco_ccrop_slots_sa
outputs_movi
outputs_movi_e
outputs_movi_e_sa
outputs_movi_sa
outputs_voc2012_bbox
outputs_voc2012_ccrop
eval
slate
slate
_base_metrics
_metrics_discovery_masks
_metrics_masks
_movi_preprocessing
_preprocessing_coco
metrics_coco
metrics_movi_c
metrics_movi_e
metrics_pascal
Api
Api
ocl
ocl
callbacks
cli
cli
_config
cli_utils
compute_dataset_size
dump_movi_dataset
eval
eval_cluster_metrics
eval_probing_metrics
eval_utils
run_bridging_eval
train
combined_model
conditioning
data_decoding
datasets
decoding
feature_extractors
feature_extractors
clip
misc
timm
utils
losses
matching
metrics
metrics
bbox
dataset
diagnosis
masks
tracking
utils
models
models
savi
neural_networks
neural_networks
convenience
extensions
feature_pyramid_networks
positional_embedding
slate
wrappers
optimization
perceptual_grouping
preprocessing
scheduling
transforms
typing
utils
utils
bboxes
dataset_patches
logging
masking
resizing
routing
trees
windows
visualization_types
visualizations
routed
Bridging the Gap to Real-World Object-Centric Learning
