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Compositional Embeddings for Multi-Label One-Shot Learning
IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2020
11 February 2020
Zeqian Li
Michael C. Mozer
Jacob Whitehill
CoGe
OCL
VLM
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Papers citing
"Compositional Embeddings for Multi-Label One-Shot Learning"
5 / 5 papers shown
Inferring Prototypes for Multi-Label Few-Shot Image Classification with Word Vector Guided Attention
Kun Yan
Chenbin Zhang
Jun Hou
Ping Wang
Zied Bouraoui
Shoaib Jameel
Steven Schockaert
274
27
0
02 Dec 2021
Compositional Clustering: Applications to Multi-Label Object Recognition and Speaker Identification
Pattern Recognition (Pattern Recogn.), 2021
Zeqian Li
Xinlu He
Jacob Whitehill
377
11
0
09 Sep 2021
Harnessing Geometric Constraints from Emotion Labels to improve Face Verification
Anand Ramakrishnan
Minh Pham
Jacob Whitehill
3DH
CVBM
241
0
0
05 Mar 2021
Probing Few-Shot Generalization with Attributes
Mengye Ren
Eleni Triantafillou
Kuan-Chieh Wang
James Lucas
Jake C. Snell
Xaq Pitkow
A. Tolias
R. Zemel
VLM
OOD
278
3
0
10 Dec 2020
Compositional embedding models for speaker identification and diarization with simultaneous speech from 2+ speakers
Zeqian Li
Jacob Whitehill
340
13
0
22 Oct 2020
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