SOTAVerified

Zero-Shot Learning

Zero-shot learning (ZSL) is a model's ability to detect classes never seen during training. The condition is that the classes are not known during supervised learning.

Earlier work in zero-shot learning use attributes in a two-step approach to infer unknown classes. In the computer vision context, more recent advances learn mappings from image feature space to semantic space. Other approaches learn non-linear multimodal embeddings. In the modern NLP context, language models can be evaluated on downstream tasks without fine tuning.

Benchmark datasets for zero-shot learning include aPY, AwA, and CUB, among others.

( Image credit: Prototypical Networks for Few shot Learning in PyTorch )

Further readings:

Papers

Showing 16011650 of 1864 papers

TitleStatusHype
Deep Zero-Shot Learning for Scene Sketch0
Zero-Shot Audio Classification Based on Class Label Embeddings0
VHEGAN: Variational Hetero-Encoder Randomized GAN for Zero-Shot Learning0
Learning shared manifold representation of images and attributes for generalized zero-shot learning0
Dimensionality Reduction for Representing the Knowledge of Probabilistic Models0
Context-Aware Zero-Shot Learning for Object Recognition0
Learning Feature-to-Feature Translator by Alternating Back-Propagation for Generative Zero-Shot LearningCode0
Context-Aware Zero-Shot RecognitionCode0
Semantically Aligned Bias Reducing Zero Shot Learning0
SR-GAN: Semantic Rectifying Generative Adversarial Network for Zero-shot Learning0
AMS-SFE: Towards an Alignment of Manifold Structures via Semantic Feature Expansion for Zero-shot Learning0
TAFE-Net: Task-Aware Feature Embeddings for Low Shot LearningCode0
On zero-shot recognition of generic objectsCode0
Leveraging the Invariant Side of Generative Zero-Shot LearningCode0
Semantic-Aware Knowledge Preservation for Zero-Shot Sketch-Based Image RetrievalCode0
Creativity Inspired Zero-Shot LearningCode0
Adaptive Adjustment with Semantic Feature Space for Zero-Shot Recognition0
Zero-shot Image Recognition Using Relational Matching, Adaptation and Calibration0
Unifying Unsupervised Domain Adaptation and Zero-Shot Visual RecognitionCode0
f-VAEGAN-D2: A Feature Generating Framework for Any-Shot Learning0
Cross-Linked Variational Autoencoders for Generalized Zero-Shot Learning0
Zero Shot Learning with the Isoperimetric Loss0
Few-Shot and Zero-Shot Learning for Historical Text Normalization0
Transfer feature generating networks with semantic classes structure for zero-shot learning0
Zero-Shot Task TransferCode0
Let's Transfer Transformations of Shared Semantic RepresentationsCode0
Semantic-Guided Multi-Attention Localization for Zero-Shot Learning0
Zero-shot Learning of 3D Point Cloud ObjectsCode0
Integrating Propositional and Relational Label Side Information for Hierarchical Zero-Shot Image Classification0
Harnessing GANs for Zero-shot Learning of New Classes in Visual Speech RecognitionCode0
Learning Classifiers for Domain Adaptation, Zero and Few-Shot Recognition Based on Learning Latent Semantic Parts0
A Zero-Shot Learning application in Deep Drawing process using Hyper-Process Model0
Human-centric Transfer Learning Explanation via Knowledge Graph [Extended Abstract]0
Multi-modal Ensemble Classification for Generalized Zero Shot Learning0
Transductive Zero-Shot Learning with Visual Structure ConstraintCode0
Adaptive Confidence Smoothing for Generalized Zero-Shot Learning0
Classifier and Exemplar Synthesis for Zero-Shot LearningCode0
Few-shot classification in Named Entity Recognition TaskCode0
Zero-Shot Learning with Sparse Attribute Propagation0
Zero-Shot Anticipation for Instructional Activities0
Generalized Zero- and Few-Shot Learning via Aligned Variational AutoencodersCode0
Stacked Semantics-Guided Attention Model for Fine-Grained Zero-Shot LearningCode0
Generalized Zero-Shot Learning with Deep Calibration Network0
Supervising Unsupervised Learning0
Bi-Adversarial Auto-Encoder for Zero-Shot Learning0
Beyond Attributes: Adversarial Erasing Embedding Network for Zero-shot Learning0
Generalized Zero-Shot Recognition based on Visually Semantic Embedding0
Fine-grained Classification using Heterogeneous Web Data and Auxiliary Categories0
Not just a matter of semantics: the relationship between visual similarity and semantic similarity0
Generative Dual Adversarial Network for Generalized Zero-shot LearningCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ZeroDiffaverage top-1 classification accuracy87.5Unverified
2DUETaverage top-1 classification accuracy72.3Unverified
3Composeraverage top-1 classification accuracy69.4Unverified
4HDC-ZSC-MLPaverage top-1 classification accuracy65.6Unverified
5ZSL_TF-VAEGANaverage top-1 classification accuracy64.9Unverified
6ZLaPAccuracy64.3Unverified
7ZLaP*Accuracy64.2Unverified
8HDC-ZSCaverage top-1 classification accuracy63.8Unverified
9SPOTaverage top-1 classification accuracy62.9Unverified
10f-VAEGAN-D2average top-1 classification accuracy61Unverified
#ModelMetricClaimedVerifiedStatus
1dmis-lab/biobert-v1.1Accuracy26.15Unverified
2meta-llama/Meta-Llama-3-8B-InstructAccuracy25.84Unverified
3epfl-llm/meditron-7bAccuracy25.75Unverified
4dmis-lab/meerkat-7b-v1.0Accuracy25.68Unverified
5meta-llama/Meta-Llama-3-8B-InstructAccuracy25.65Unverified
6HuggingFaceH4/zephyr-7b-betaAccuracy25.54Unverified
7dmis-lab/biobert-v1.1Accuracy25.46Unverified
8epfl-llm/meditron-70bAccuracy25.36Unverified
9epfl-llm/meditron-70bAccuracy25.26Unverified
10HuggingFaceH4/zephyr-7b-betaAccuracy25.06Unverified
#ModelMetricClaimedVerifiedStatus
1ZeroDiffaverage top-1 classification accuracy77.3Unverified
2SPOT (VAEGAN)average top-1 classification accuracy66.04Unverified
3ZSL_TF-VAEGANaverage top-1 classification accuracy66Unverified
4f-VAEGANaverage top-1 classification accuracy64.7Unverified
5DUET (Ours)average top-1 classification accuracy64.4Unverified
6LisGANaverage top-1 classification accuracy61.7Unverified
7TCNaverage top-1 classification accuracy61.5Unverified
8f-CLSWGANaverage top-1 classification accuracy60.8Unverified
9Cycle-WGANaverage top-1 classification accuracy59.9Unverified
#ModelMetricClaimedVerifiedStatus
1ZeroDiffaverage top-1 classification accuracy86.4Unverified
2ZSL-KGaverage top-1 classification accuracy78.08Unverified
3ZSL_TF-VAEGANaverage top-1 classification accuracy72.2Unverified
4DUET (Ours)average top-1 classification accuracy69.9Unverified
#ModelMetricClaimedVerifiedStatus
1ZLaPAccuracy84Unverified
2ZLaP*Accuracy83.1Unverified
#ModelMetricClaimedVerifiedStatus
1ZLaP*Accuracy93.6Unverified
2ZLaPAccuracy93.4Unverified
#ModelMetricClaimedVerifiedStatus
1ZLaP*Accuracy74.2Unverified
2ZLaPAccuracy74Unverified
#ModelMetricClaimedVerifiedStatus
1ViT-B/16Average mAP60.17Unverified
2ResNet-50Average mAP56.19Unverified
#ModelMetricClaimedVerifiedStatus
1ZLaPAccuracy51.2Unverified
2ZLaP*Accuracy51Unverified
#ModelMetricClaimedVerifiedStatus
1ZLaPAccuracy29.1Unverified
2ZLaP*Accuracy29Unverified
#ModelMetricClaimedVerifiedStatus
1ZLaPAccuracy75.9Unverified
2ZLaP*Accuracy75.5Unverified
#ModelMetricClaimedVerifiedStatus
1ZLaP*Accuracy87.9Unverified
2ZLaPAccuracy87.8Unverified
#ModelMetricClaimedVerifiedStatus
1ZLaPTop 1 Accuracy72.1Unverified
2ZLaP*Top 1 Accuracy72.1Unverified
#ModelMetricClaimedVerifiedStatus
1HiTeAAccuracy21.7Unverified
2HiTeAAccuracy0.46Unverified
#ModelMetricClaimedVerifiedStatus
1HiTeAAccuracy37.4Unverified
2HiTeAAccuracy0.56Unverified
#ModelMetricClaimedVerifiedStatus
1SPOTaverage top-1 classification accuracy71.9Unverified
2ZSL_TF-VAEGANaverage top-1 classification accuracy70.8Unverified
#ModelMetricClaimedVerifiedStatus
1ZLaPAccuracy90Unverified
2ZLaP*Accuracy89Unverified
#ModelMetricClaimedVerifiedStatus
1ZLaP*Accuracy71.8Unverified
2ZLaPAccuracy71.2Unverified
#ModelMetricClaimedVerifiedStatus
1ZLaP*Accuracy71.4Unverified
2ZLaPAccuracy71Unverified
#ModelMetricClaimedVerifiedStatus
1ZLaP*Accuracy76.3Unverified
2ZLaPAccuracy76.3Unverified
#ModelMetricClaimedVerifiedStatus
1CLIP(ViT-B/16)Average mAP85.77Unverified
2CLIP(ResNet-50)Average mAP84.3Unverified
#ModelMetricClaimedVerifiedStatus
1ZSL-KGTop-160.54Unverified
#ModelMetricClaimedVerifiedStatus
1zsl_ADAAverage Per-Class Accuracy70.9Unverified
#ModelMetricClaimedVerifiedStatus
1ZLaP*Accuracy63.2Unverified
#ModelMetricClaimedVerifiedStatus
1MSDAPearson correlation coefficient (PCC)0.52Unverified
#ModelMetricClaimedVerifiedStatus
1SeViLAAccuracy72.3Unverified
#ModelMetricClaimedVerifiedStatus
1M^2-EncoderAccuracy80.7Unverified
#ModelMetricClaimedVerifiedStatus
1FrozenBiLMAccuracy51.5Unverified
#ModelMetricClaimedVerifiedStatus
1CZSLA-acc36Unverified
#ModelMetricClaimedVerifiedStatus
1ZS3Netk=10 mIOU26.3Unverified
#ModelMetricClaimedVerifiedStatus
1ZSL-KGAccuracy88.98Unverified
#ModelMetricClaimedVerifiedStatus
1VideoChat2Accuracy40.6Unverified