few-shot learning

KEYNOTE: Learning from Data in post-Foundation Models Era: bringing learning and reasoning together

FEW-SHOT HYPERSPECTRAL IMAGE CLASSIFICATION BASED ON CROSS-DOMAIN SPECTRAL SEMANTIC RELATION TRANSFORMER

TASK-AGNOSTIC OPEN-SET PROTOTYPE FOR FEW-SHOT OPEN-SET RECOGNITION

ADAPTIVE ANCHOR LABEL PROPAGATION FOR TRANSDUCTIVE FEW-SHOT LEARNING

CROSS-SCALE QUERY-SUPPORT ALIGNMENT APPROACH FOR SMALL OBJECT DETECTION IN THE FEW-SHOT REGIME

GRID-TRANSFORMER FOR FEW-SHOT HYPERSPECTRAL IMAGE CLASSIFICATION

Multi-scale temporal feature fusion for few-shot action recognition

VARIATIONAL FEATURE DISENTANGLEMENT FOR FEW-SHOT DOMAIN ADAPTATION

INJECTING TEXT AND CROSS-LINGUAL SUPERVISION IN FEW-SHOT LEARNING FROM SELF-SUPERVISED MODELS

VOICE FILTER: FEW-SHOT TEXT-TO-SPEECH SPEAKER ADAPTATION USING VOICE CONVERSION AS A POST-PROCESSING MODULE

FEW-SHOT GAZE ESTIMATION WITH MODEL OFFSET PREDICTORS

HYBRID ATTENTION-BASED PROTOTYPICAL NETWORKS FOR FEW-SHOT SOUND CLASSIFICATION