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Found 7 papers, 5 papers with code
C2F-TCN: A Framework for Semi and Fully Supervised Temporal Action Segmentation
For the task of temporal action segmentation, we propose an encoder-decoder-style architecture named C2F-TCN featuring a "coarse-to-fine" ensemble of decoder outputs.
A Generalized & Robust Framework For Timestamp Supervision in Temporal Action Segmentation
In temporal action segmentation, Timestamp supervision requires only a handful of labelled frames per video sequence.
Assembly101: A Large-Scale Multi-View Video Dataset for Understanding Procedural Activities
Assembly101 is a new procedural activity dataset featuring 4321 videos of people assembling and disassembling 101 "take-apart" toy vehicles.
Iterative Contrast-Classify For Semi-supervised Temporal Action Segmentation
Our method hinges on unsupervised representation learning, which, for temporal action segmentation, poses unique challenges.
Coarse to Fine Multi-Resolution Temporal Convolutional Network
In this work, we propose a novel temporal encoder-decoder to tackle the problem of sequence fragmentation.
Ranked #3 on
Action Segmentation
on Assembly101
Rethinking CNN Models for Audio Classification
Besides, we show that even though we use the pretrained model weights for initialization, there is variance in performance in various output runs of the same model.
Environmental Sound Classification
General Classification
+2
Temporal Aggregate Representations for Long-Range Video Understanding
Future prediction, especially in long-range videos, requires reasoning from current and past observations.
Ranked #2 on
Action Anticipation
on Assembly101
