2020-2022小样本顶会顶刊论文&代码合集/小样本顶会顶刊论文100篇

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2020-2022小样本顶会顶刊论文&代码合集.pdf            345.0 KB
A broader study of cross-domain few-shot learning.pdf            12.3 MB
A few shot classification methods based on multiscale relational networks.pdf            9.8 MB
A few-shot meta-learning based siamese neural network using entropy features for ransomware classification.pdf            6.8 MB
A survey of self-supervised and few-shot object detection.pdf            12.6 MB
Adaafford：Learning to adapt manipulation affordance for 3d articulated objects via few-shot interactions.pdf            11.0 MB
Adaptive poincaré point to set distance for few-shot classification.pdf            6.2 MB
An empirical study of gpt-3 for few-shot knowledge-based vqa.pdf            7.9 MB
Anomaly detection-inspired few-shot medical image segmentation through self-supervision with supervoxels.pdf            8.6 MB
Attribute Surrogates Learning and Spectral Tokens Pooling in Transformers for Few-shot Learning.pdf            11.5 MB
Baby steps towards few-shot learning with multiple semantics.pdf            6.4 MB
Bayesian embeddings for few-shot open world recognition.pdf            10.8 MB
Beyond max-margin：Class margin equilibrium for few-shot object detection.pdf            7.6 MB
Boosting few-shot learning with adaptive margin loss.pdf            6.3 MB
CAD：Co-Adapting Discriminative Features for Improved Few-Shot Classification.pdf            12.1 MB
Calibrate before use：Improving few-shot performance of language models.pdf            8.3 MB
Cins Comprehensive instruction for few-shot learning in task-oriented dialog systems.pdf            6.9 MB
Constrained Few-shot Class-incremental Learning.pdf            6.5 MB
Contrastnet A contrastive learning framework for few-shot text classification.pdf            7.5 MB
Copner：Contrastive learning with prompt guiding for few-shot named entity recognition.pdf            6.5 MB
Cost aggregation with 4d convolutional swin transformer for few-shot segmentation.pdf            17.2 MB
Cross-domain Few-shot Learning with Task-specific Adapters.pdf            7.1 MB
Defrcn：Decoupled faster r-cnn for few-shot object detection.pdf            6.4 MB
Design of a graphical user interface for few-shot machine learning classification of electron microscopy data.pdf            7.9 MB
EASE：Unsupervised Discriminant Subspace Learning for Transductive Few-Shot Learning.pdf            6.7 MB
Enhancing few-shot image classification with unlabelled examples.pdf            8.0 MB
Feature learning-based generative adversarial network data augmentation for class-based few-shot learning.pdf            19.5 MB
Few shot generative model adaption via relaxed spatial structural alignment.pdf            27.7 MB
Few-shot Backdoor Defense Using Shapley Estimation.pdf            8.0 MB
Few-Shot Class Incremental Learning Leveraging Self-Supervised Features.pdf            6.5 MB
Few-shot classification with feature map reconstruction networks.pdf            6.8 MB
Few-shot class-incremental learning by sampling multi-phase tasks.pdf            9.8 MB
Few-shot cross-lingual stance detection with sentiment-based pre-training.pdf            6.1 MB
Few-Shot Font Generation by Learning Fine-Grained Local Styles.pdf            8.6 MB
Few-shot image generation via cross-domain correspondence.pdf            11.8 MB
Few-Shot Incremental Learning for Label-to-Image Translation.pdf            14.7 MB
Few-shot incremental learning with continually evolved classifiers.pdf            8.0 MB
Few-shot Keypoint Detection with Uncertainty Learning for Unseen Species.pdf            9.1 MB
Few-shot keyword spotting with prototypical networks.pdf            6.6 MB
Few-shot learning via embedding adaptation with set-to-set functions.pdf            7.3 MB
Few-shot learning with a strong teacher.pdf            6.9 MB
Few-shot learning with noisy labels.pdf            11.9 MB
Few-shot neural architecture search.pdf            7.1 MB
Few-shot object detection and viewpoint estimation for objects in the wild.pdf            30.3 MB
Few-shot object detection with attention-RPN and multi-relation detector.pdf            8.4 MB
Few-shot object detection with fully cross-transformer.pdf            10.6 MB
Few-shot Single-view 3D Reconstruction with Memory Prior Contrastive Network.pdf            7.2 MB
Forward compatible few-shot class-incremental learning.pdf            7.4 MB
FS6D：Few-Shot 6D Pose Estimation of Novel Objects.pdf            7.0 MB
Fsce：Few-shot object detection via contrastive proposal encoding.pdf            8.4 MB
Generalized few-shot object detection without forgetting.pdf            8.4 MB
Generalized few-shot semantic segmentation.pdf            15.2 MB
Generalizing from a few examples：A survey on few-shot learning.pdf            12.2 MB
Generating Representative Samples for Few-Shot Classification.pdf            10.9 MB
GeoAug：Data Augmentation for Few-Shot NeRF with Geometry Constraints.pdf            8.1 MB
Global Convergence of MAML and Theory-Inspired Neural Architecture Search for Few-Shot Learning.pdf            6.5 MB
Graph few-shot class-incremental learning.pdf            9.1 MB
Hallucination improves few-shot object detection.pdf            7.3 MB
Hybrid graph neural networks for few-shot learning.pdf            6.7 MB
Hypercorrelation squeeze for few-shot segmentation.pdf            9.3 MB
Incremental few-shot object detection.pdf            6.6 MB
InfoNeRF：Ray Entropy Minimization for Few-Shot Neural Volume Rendering.pdf            10.1 MB
Interclass Prototype Relation for Few-Shot Segmentation.pdf            11.6 MB
Joint Distribution Matters：Deep Brownian Distance Covariance for Few-Shot Classification.pdf            6.7 MB
Kernelized Few-Shot Object Detection With Efficient Integral Aggregation.pdf            7.3 MB
Label, verify, correct：A simple few shot object detection method.pdf            12.6 MB
Language models are few-shot learners.pdf            7.1 MB
Learning dynamic alignment via meta-filter for few-shot learning.pdf            6.5 MB
Learning Non-target Knowledge for Few-shot Semantic Segmentation.pdf            14.0 MB
Learning what not to segment：A new perspective on few-shot segmentation.pdf            10.0 MB
Matching Feature Sets for Few-Shot Image Classification.pdf            11.5 MB
Meta faster r-cnn Towards accurate few-shot object detection with attentive feature alignment.pdf            15.8 MB
Meta-baseline：Exploring simple meta-learning for few-shot learning.pdf            6.5 MB
Meta-learning for multi-label few-shot classification.pdf            9.2 MB
Mining latent classes for few-shot segmentation.pdf            10.2 MB
Multi-level metric learning for few-shot image recognition.pdf            6.4 MB
Multi-level Second-order Few-shot Learning.pdf            12.1 MB
Multimodal few-shot learning with frozen language models.pdf            13.9 MB
Negative margin matters：Understanding margin in few-shot classification.pdf            7.2 MB
On the texture bias for few-shot cnn segmentation.pdf            33.5 MB
Ontology-enhanced Prompt-tuning for Few-shot Learning.pdf            8.3 MB
Pareto self-supervised training for few-shot learning.pdf            7.4 MB
Prompt programming for large language models：Beyond the few-shot paradigm.pdf            6.0 MB
Prompting decision transformer for few-shot policy generalization.pdf            9.7 MB
Putting nerf on a diet：Semantically consistent few-shot view synthesis.pdf            13.6 MB
Relational embedding for few-shot classification.pdf            10.4 MB
Rethinking few-shot image classification：a good embedding is all you need.pdf            7.7 MB
Rethinking few-shot object detection on a multi-domain benchmark.pdf            7.6 MB
Revisiting Learnable Affines for Batch Norm in Few-Shot Transfer Learning.pdf            6.6 MB
Scale-aware graph neural network for few-shot semantic segmentation.pdf            10.6 MB
SEGA：semantic guided attention on visual prototype for few-shot learning.pdf            7.4 MB
Self-guided and cross-guided learning for few-shot segmentation.pdf            7.0 MB
Semantic relation reasoning for shot-stable few-shot object detection.pdf            6.7 MB
Semi-supervised few-shot learning approach for plant diseases recognition.pdf            7.4 MB
Semi-Supervised Few-Shot Learning via Multi-Factor Clustering.pdf            7.0 MB
Simpler is better：Few-shot semantic segmentation with classifier weight transformer.pdf            6.3 MB
Sylph：A Hypernetwork Framework for Incremental Few-shot Object Detection.pdf            9.7 MB
TA2N Two-stage action alignment network for few-shot action recognition.pdf            6.6 MB
Time-rEversed DiffusioN tEnsor Transformer：A New TENET of Few-Shot Object Detection.pdf            7.0 MB
Uni-perceiver：Pre-training unified architecture for generic perception for zero-shot and few-shot tasks.pdf            7.3 MB
Unsupervised Few-Shot Image Classification by Learning Features into Clustering Space.pdf            7.7 MB


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