  Our approach is among the three best to tackle the M2CAI Workflow challenge.
The latter consists in recognizing the operation phase for each frames of
endoscopic videos. In this technical report, we compare several classification
models and temporal smoothing methods. Our submitted solution is a fine tuned
Residual Network-200 on 80% of the training set with temporal smoothing using
simple temporal averaging of the predictions and a Hidden Markov Model modeling
the sequence.
