Papers › CATER: A diagnostic dataset for Compositional Actions and TEmporal Reasoning

CATER: A diagnostic dataset for Compositional Actions and TEmporal Reasoning

10 Oct 2019arXiv:1910.04744archive 2025-07-28

Rohit Girdhar, Deva Ramanan

Computer vision has undergone a dramatic revolution in performance, driven in large part through deep features trained on large-scale supervised datasets. However, much of these improvements have focused on static image analysis; video understanding has seen rather modest improvements. Even though new datasets and spatiotemporal models have been proposed, simple frame-by-frame classification methods often still remain competitive. We posit that current video datasets are plagued with implicit biases over scene and object structure that can dwarf variations in temporal structure. In this work, we build a video dataset with fully observable and controllable object and scene bias, and which truly requires spatiotemporal understanding in order to be solved. Our dataset, named CATER, is rendered synthetically using a library of standard 3D objects, and tests the ability to recognize compositions of object movements that require long-term reasoning. In addition to being a challenging dataset, CATER also provides a plethora of diagnostic tools to analyze modern spatiotemporal video architectures by being completely observable and controllable. Using CATER, we provide insights into some of the most recent state of the art deep video architectures.

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add_random_objects rohitgirdhar/CATER/generate/render_videos.py community (archive-listed) unverified Apache-2.0 (permissive) · 53562d1d43d7da1d · report
count_lines rohitgirdhar/CATER/baselines/video-nonlocal-net/lib/core/config.py community (archive-listed) unverified Apache-2.0 (permissive) · cb087309adc9f1cc · report
extract_args rohitgirdhar/CATER/generate/utils.py community (archive-listed) unverified Apache-2.0 (permissive) · 91fb38597804107d · report
flatten_list rohitgirdhar/CATER/generate/actions.py community (archive-listed) unverified Apache-2.0 (permissive) · 94398091c12cbe1c · report
get_class_prediction rohitgirdhar/CATER/baselines/tracking/proj_utils.py community (archive-listed) unverified Apache-2.0 (permissive) · a0eabd797d12040d · report
lock rohitgirdhar/CATER/generate/render_videos.py community (archive-listed) unverified Apache-2.0 (permissive) · 46a9268fefb8a285 · report
parse_args rohitgirdhar/CATER/generate/utils.py community (archive-listed) unverified Apache-2.0 (permissive) · b54ceac1b8bf7815 · report
project_3d_point rohitgirdhar/CATER/baselines/tracking/proj_utils.py community (archive-listed) unverified Apache-2.0 (permissive) · 9c13ae68c70e2c17 · report
rand rohitgirdhar/CATER/generate/render_videos.py community (archive-listed) unverified Apache-2.0 (permissive) · 6af88954b47cfaa9 · report
read_from_file rohitgirdhar/CATER/baselines/video-nonlocal-net/process_data/cater/gen_lmdbs.py community (archive-listed) unverified Apache-2.0 (permissive) · a7bc03e4e814c851 · report
sanitize_locations rohitgirdhar/CATER/generate/actions.py community (archive-listed) unverified Apache-2.0 (permissive) · efe1413953ea5a64 · report
shuf_repeat rohitgirdhar/CATER/baselines/video-nonlocal-net/process_data/cater/gen_lmdbs.py community (archive-listed) unverified Apache-2.0 (permissive) · e354775acb3be342 · report

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DiagnosticObjectVideo Object TrackingVideo Understanding

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CATER

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