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 15511600 of 1864 papers

TitleStatusHype
A Semantics-Guided Class Imbalance Learning Model for Zero-Shot Classification0
Zero Shot Learning for Multi-Modal Real Time Image Registration0
Transferable Contrastive Network for Generalized Zero-Shot Learning0
Mixed High-Order Attention Network for Person Re-IdentificationCode0
Zero-Shot Crowd Behavior Recognition0
Generalised Zero-Shot Learning with Domain Classification in a Joint Semantic and Visual Space0
Visual and Semantic Prototypes-Jointly Guided CNN for Generalized Zero-shot Learning0
Domain-Specific Embedding Network for Zero-Shot RecognitionCode0
Zero-Shot Feature Selection via Transferring Supervised Knowledge0
Generalised Zero-Shot Learning with a Classifier Ensemble over Multi-Modal Embedding Spaces0
Image Captioning with Unseen Objects0
Improving Generalization via Attribute Selection on Out-of-the-box Data0
Zero-Shot Sign Language Recognition: Can Textual Data Uncover Sign Languages?0
Bayesian Zero-Shot LearningCode0
Discriminative Embedding Autoencoder with a Regressor Feedback for Zero-Shot Learning0
Mitigating the Hubness Problem for Zero-Shot Learning of 3D Objects0
Dual Adversarial Semantics-Consistent Network for Generalized Zero-Shot Learning0
Zero-shot Learning for Audio-based Music Classification and TaggingCode0
Zero-shot Word Sense Disambiguation using Sense Definition EmbeddingsCode0
Visual Space Optimization for Zero-shot Learning0
Zero-shot Learning and Knowledge Transfer in Music Classification and Tagging0
From Zero-Shot Learning to Cold-Start RecommendationCode0
Weakly Supervised Clustering by Exploiting Unique Class CountCode0
Representation Quality Of Neural Networks Links To Adversarial Attacks and DefencesCode0
Joint Concept Matching based Learning for Zero-Shot Recognition0
Semantics to Space(S2S): Embedding semantics into spatial space for zero-shot verb-object query inferencing0
Know What You Don't Know: Modeling a Pragmatic Speaker that Refers to Objects of Unknown Categories0
From Fully Supervised to Zero Shot Settings for Twitter Hashtag Recommendation0
Task-Aware Feature Generation for Zero-Shot Compositional LearningCode0
Zero-Shot Image Classification Using Coupled Dictionary Embedding0
A Generative Framework for Zero-Shot Learning with Adversarial Domain AdaptationCode0
A Natural Language-Inspired Multi-label Video Streaming Traffic Classification Method Based on Deep Neural Networks0
Dataset Mention Extraction and Classification0
Attentive Region Embedding Network for Zero-Shot Learning0
Compressing Unknown Images With Product Quantizer for Efficient Zero-Shot Classification0
Deep Asymmetric Metric Learning via Rich Relationship Mining0
Hierarchical Disentanglement of Discriminative Latent Features for Zero-Shot Learning0
Min-Max Statistical Alignment for Transfer Learning0
Marginalized Latent Semantic Encoder for Zero-Shot Learning0
Generalized Zero- and Few-Shot Learning via Aligned Variational AutoencodersCode0
ZstGAN: An Adversarial Approach for Unsupervised Zero-Shot Image-to-Image TranslationCode0
Gradient Matching Generative Networks for Zero-Shot LearningCode0
Large-Scale Few-Shot Learning: Knowledge Transfer With Class HierarchyCode0
CLAREL: Classification via retrieval loss for zero-shot learning0
Efficient Amortised Bayesian Inference for Hierarchical and Nonlinear Dynamical SystemsCode0
Extreme Multi-Label Legal Text Classification: A case study in EU Legislation0
Leveraging Semantic Embeddings for Safety-Critical Applications0
Learning Visually Consistent Label Embeddings for Zero-Shot Learning0
Task-Driven Modular Networks for Zero-Shot Compositional LearningCode0
Unified Generator-Classifier for Efficient Zero-Shot Learning0
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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