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Found 5 papers, 0 papers with code
MES-Loss: Mutually equidistant separation metric learning loss function
We propose in this paper a new composite DML loss function that, in addition to the intra-class compactness, explicitly implies regulations to enforce the best inter-class separation by mutually equidistantly distributing the centers of the classes.
Ranked #1 on
Image Clustering
on CUB-200-2011
TwistSLAM++: Fusing multiple modalities for accurate dynamic semantic SLAM
However they are often unable to estimate the canonical pose of the objects and exhibit a low object tracking accuracy.
TwistSLAM: Constrained SLAM in Dynamic Environment
Classical visual simultaneous localization and mapping (SLAM) algorithms usually assume the environment to be rigid.
S3LAM: Structured Scene SLAM
We propose a new SLAM system that uses the semantic segmentation of objects and structures in the scene.
Efficient Multi-stream Temporal Learning and Post-fusion Strategy for 3D Skeleton-based Hand Activity Recognition
Recognizing first-person hand activity is a challenging task, especially when not enough data are available.
Ranked #1 on
Skeleton Based Action Recognition
on First-Person Hand Action Benchmark
(1:1 Accuracy metric)
