VL3W20
* *Visual Learning With Limited Labels: Zero-Shot, Few-Shot, Any-Shot, and Cross-Domain Few-Shot Learning
* Activity-aware Attributes for Zero-Shot Driver Behavior Recognition
* Alleviating Semantic-level Shift: A Semi-supervised Domain Adaptation Method for Semantic Segmentation
* Any-Shot Sequential Anomaly Detection in Surveillance Videos
* Auto-Annotation Quality Prediction for Semi-Supervised Learning with Ensembles
* CLAREL: Classification via retrieval loss for zero-shot learning
* Context-Guided Super-Class Inference for Zero-Shot Detection
* Cross-Domain Knowledge Transfer for Prediction of Chemosensitivity in Ovarian Cancer Patients
* Diagnosing Rarity in Human-object Interaction Detection
* Embarrassingly Simple Baseline to One-shot Learning, An
* ePillID Dataset: A Low-Shot Fine-Grained Benchmark for Pill Identification
* Image2Audio: Facilitating Semi-supervised Audio Emotion Recognition with Facial Expression Image
* MA3: Model Agnostic Adversarial Augmentation for Few Shot learning
* Pose-Guided Knowledge Transfer for Object Part Segmentation
* Relative Position and Map Networks in Few-shot Learning for Image Classification
* Rethinking Segmentation Guidance for Weakly Supervised Object Detection
* Selecting Auxiliary Data Using Knowledge Graphs for Image Classification with Limited Labels
* Self-Supervised Learning of Local Features in 3D Point Clouds
* Simple Discriminative Dual Semantic Auto-encoder for Zero-shot Classification, A
* Take the Scenic Route: Improving Generalization in Vision-and-Language Navigation
* Towards Fine-grained Sampling for Active Learning in Object Detection
* Unsupervised Batch Normalization
* ViSeR: Visual Self-Regularization
* Zero-Shot Learning in the Presence of Hierarchically Coarsened Labels
24 for VL3W20