CLEVRER: Collision Events forVideo Representation and Reasoning
Table 2: Question-answering accuracy of visual reasoning baselines on CLEVRER. All models are trained on the full training set. The IEP (V) model and TbD-net (V) use 1000 programs to train the program generator.
['Methods', 'Descriptive', 'Explanatory per opt.', 'Explanatory per ques.', 'Predictive per opt.', 'Predictive per ques.', 'Counterfactual per opt.', 'Counterfactual per ques.']
The fact that these models achieve different performances over the wide spectrum of tasks suggest that CLEVRER offers powerful assessment to the models’ strength and limitations on various domains. All models are trained on the training set until convergence, tuned on the validation set and evaluated on the test set.