This is a table documenting some of the best results some paper obtained in COIL-100 dataset.
COIL-100 is a dataset containing images of 100 objects, each with 72 views. Here's a link to the official web site for COIL-100.
COIL-100 is a dataset containing images of 100 objects, each with 72 views. Here's a link to the official web site for COIL-100.
- Nearest Prime Simplicial Complex for Object Recognition (2011)
Cited 0 times. 97.19% - Multiple-View Object Recognition in Smart Camera Networks (2011)
Cited 0 times. 95% - Deep Learning from Temporal Coherence in Video (2009)
Cited 30 times. 92.5% - Deep Learning of Invariant Features via Simulated Fixations in Video (2012)
Cited 0 times. 82%
Additional info: Trained also with van Hataren videos (unrelated to COIL-100) obtained 87%
1 comment:
I think the results shown here are inconsistent. Please note that in first two papers; Nearest Prime Simplicial Complex for Object Recognition (2011) andMultiple-View Object Recognition in Smart Camera Networks (2011); the number samples for training are 8 and 10 respectively and that of Deep Learning from Temporal Coherence in Video (2009) is only 4 (0, 90, 180 and 270 degree). Taking only 4 views is the usually followed protocol and the above mentioned two papers are inconsistent with this.
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