CVPR 2022 小样本学习文章汇总
CVPR 2022[*]Zero-Shot Text-Guided Object Generation with Dream Fields
[*]Few-Shot Incremental Learning for Label-to-Image Translation
[*]Siamese Contrastive Embedding Network for Compositional Zero-Shot Learning
[*]Revisiting Learnable Affines for Batch Norm in Few-Shot Transfer Learning
[*]Balanced and Hierarchical Relation Learning for One-shot Object Detection
[*]Pushing the Limits of Simple Pipelines for Few-Shot Learning: External Data and Fine-Tuning Make a Difference
[*]Few-Shot Font Generation by Learning Fine-Grained Local Styles
[*]Distinguishing Unseen from Seen for Generalized Zero-shot Learning
[*]Attribute Surrogates Learning and Spectral Tokens Pooling in Transformers for Few-shot Learning
[*]Task-Adaptive Negative Envision for Few-Shot Open-Set Recognition
[*]Non-generative Generalized Zero-shot Learning via Task-correlated Disentanglement and Controllable Samples Synthesis
[*]Forward Compatible Few-Shot Class-Incremental Learning
[*]Ranking Distance Calibration for Cross-Domain Few-Shot Learning
[*]Learning to Memorize Feature Hallucination for One-Shot Image Generation
[*]Improving Adversarially Robust Few-shot Image Classification with Generalizable Representations
[*]En-Compactness: Self-Distillation Embedding & Contrastive Generation for Generalized Zero-Shot Learning
[*]Few-Shot Object Detection with Fully Cross-Transformer
[*]FS6D: Few-Shot 6D Pose Estimation of Novel Objects
[*]Generating Representative Samples for Few-Shot Classification
[*]Task Discrepancy Maximization for Fine-grained Few-Shot Classification
[*]EASE: Unsupervised Discriminant Subspace Learning for Transductive
[*]A Closer Look at Few-shot Image Generation
[*]Motion-modulated Temporal Fragment Alignment Network For Few-Shot Action Recognition
[*]VGSE: Visually-Grounded Semantic Embeddings for Zero-Shot Learning
[*]Sketch3T: Test-Time Training for Zero-Shot SBIR
[*]Audio-visual Generalised Zero-shot Learning with Cross-modal Attention and Language
[*]Sylph: A Hypernetwork Framework for Incremental Few-shot Object Detection
[*]Integrative Few-Shot Learning for Classification and Segmentation
[*]Constrained Few-shot Class-incremental Learning
[*]iFS-RCNN: An Incremental Few-shot Instance Segmenter
[*]Cross-domain Few-shot Learning with Task-specific Adapters
[*]OnePose: One-Shot Object Pose Estimation without CAD Models
[*]Global Convergence of MAML and Theory-Inspired Neural Architecture Search for Few-Shot Learning
[*]GANORCON: Are Generative Models Useful for Few-shot Segmentation?
[*]MSDN: Mutually Semantic Distillation Network for Zero-Shot Learning
[*]Remember the Difference: Cross-Domain Few-Shot Semantic Segmentation via Meta-Memory Transfer
[*]Few-shot Learning with Noisy Labels
[*]Semantic-aligned Fusion Transformer for One-shot Object Detection
[*]Robust Region Feature Synthesizer for Zero-Shot Object Detection
[*]It’s All In the Teacher: Zero-Shot Quantization Brought Closer to the Teacher
[*]OSOP: A Multi-Stage One Shot Object Pose Estimation Framework
[*]Robust fine-tuning of zero-shot models
[*]Matching Feature Sets for Few-Shot Image Classification
[*]XMP-Font: Self-Supervised Cross-Modality Pre-training for Few-Shot Font Generation
[*]Joint Distribution Matters: Deep Brownian Distance Covariance for Few-Shot Classification
[*]Learning What Not to Segment: A New Perspective on Few-Shot Segmentation
[*]KG-SP: Knowledge Guided Simple Primitives for Open World Compositional Zero-Shot Learning
[*]Learning to Affiliate: Mutual Centralized Learning for Few-shot Classification
[*]Few-Shot Head Swapping in the Wild
[*]Few Shot Generative Model Adaption via Relaxed Spatial Structural Alignment
[*]CAD: Co-Adapting Discriminative Features for Improved Few-Shot Classification
[*]Dynamic Prototype Convolution Network for Few-Shot Semantic Segmentation
[*]Generalized Few-shot Semantic Segmentation
[*]Look Closer to Supervise Better: One-Shot Font Generation via Component-Based Discriminator
[*]MetaFSCIL: A Meta-Learning Approach for Few-Shot Class Incremental Learning
[*]Semi-Supervised Few-shot Learning via Multi-Factor Clustering
[*]InfoNeRF: Ray Entropy Minimization for Few-Shot Neural Volume Rendering
[*]Label, Verify, Correct: A Simple Few Shot Object Detection Method
[*]Decoupling Zero-Shot Semantic Segmentation
[*]Few-shot Backdoor Defense Using Shapley Estimation
[*]Attribute Group Editing for Reliable Few-shot Image Generation
[*]IntraQ: Learning Synthetic Images with Intra-Class Heterogeneity for Zero-Shot Network Quantization
[*]A Hybrid Egocentric Activity Anticipation Framework via Memory-Augmented Recurrent and One-shot Representation Forecasting
[*]Learning Non-target Knowledge for Few-shot Semantic Segmentation
[*]Bongard-HOI: Benchmarking Few-Shot Visual Reasoning for Human-Object Interactions
[*]ZeroCap: Zero-Shot Image-to-Text Generation for Visual-Semantic Arithmetic
[*]LiT: Zero-Shot Transfer with Locked-image text Tuning
[*]Uni-Perceiver: Pre-training Unified Architecture for Generic Perception for Zero-shot and Few-shot Tasks
[*]CLIP-Forge: Towards Zero-Shot Text-to-Shape Generation
[*]Quantization-aware Deep Optics for Diffractive Snapshot Hyperspectral Imaging
[*]Which images to label for few-shot medical landmark detection?
[*]HyperSegNAS: Bridging One-Shot Neural Architecture Search with 3D Medical Image Segmentation using HyperNet
[*]Kernelized Few-shot Object Detection with Efficient Integral Aggregation
[*]Cross-modal Representation Learning for Zero-shot Action Recognition
[*]Acquiring a Dynamic Light Field through a Single-Shot Coded Image
[*]Alignment-Uniformity aware Representation Learning for Zero-shot Video Classification
[*]HerosNet: Hyperspectral Explicable Reconstruction and Optimal Sampling Deep Network for Snapshot Compressive Imaging
[*]Hybrid Relation Guided Set Matching for Few-shot Action Recognition
[*]Spatio-temporal Relation Modeling for Few-shot Action Recognition
[*]YouMVOS: An Actor-centric Multi-shot Video Object Segmentation Dataset
[*]Few-shot Keypoint Detection with Uncertainty Learning for Unseen Species
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