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 451500 of 1864 papers

TitleStatusHype
Integrated Generalized Zero-Shot Learning for Fine-Grained Classification0
Exploiting GPT-4 Vision for Zero-shot Point Cloud Understanding0
Explore the Power of Synthetic Data on Few-shot Object Detection0
Exploring Large Language Models for Feature Selection: A Data-centric Perspective0
CANZSL: Cycle-Consistent Adversarial Networks for Zero-Shot Learning from Natural Language0
An experimental approach on Few Shot Class Incremental Learning0
Explaining CLIP's performance disparities on data from blind/low vision users0
Diffusion based Zero-shot Medical Image-to-Image Translation for Cross Modality Segmentation0
Beyond Seen Primitive Concepts and Attribute-Object Compositional Learning0
Advancing Comprehensive Aesthetic Insight with Multi-Scale Text-Guided Self-Supervised Learning0
Beyond Labels: Zero-Shot Diabetic Foot Ulcer Wound Segmentation with Self-attention Diffusion Models and the Potential for Text-Guided Customization0
Cap2Aug: Caption guided Image to Image data Augmentation0
Beyond Image Classification: A Video Benchmark and Dual-Branch Hybrid Discrimination Framework for Compositional Zero-Shot Learning0
DFS: A Diverse Feature Synthesis Model for Generalized Zero-Shot Learning0
Developing Effective Educational Chatbots with ChatGPT prompts: Insights from Preliminary Tests in a Case Study on Social Media Literacy (with appendix)0
Beyond CLIP Generalization: Against Forward&Backward Forgetting Adapter for Continual Learning of Vision-Language Models0
Developing and Evaluating Tiny to Medium-Sized Turkish BERT Models0
Detecting Visually Relevant Sentences for Fine-Grained Classification0
DiffCLIP: Leveraging Stable Diffusion for Language Grounded 3D Classification0
DiffDis: Empowering Generative Diffusion Model with Cross-Modal Discrimination Capability0
Beyond Attributes: Adversarial Erasing Embedding Network for Zero-shot Learning0
An Evaluation of Large Pre-Trained Models for Gesture Recognition using Synthetic Videos0
Exploiting CLIP-based Multi-modal Approach for Artwork Classification and Retrieval0
An Entropy-guided Reinforced Partial Convolutional Network for Zero-Shot Learning0
Designing Category-Level Attributes for Discriminative Visual Recognition0
Dimensionality Reduction for Representing the Knowledge of Probabilistic Models0
Bi-Adversarial Auto-Encoder for Zero-Shot Learning0
DiRaC-I: Identifying Diverse and Rare Training Classes for Zero-Shot Learning0
EXnet: Efficient In-context Learning for Data-less Text classification0
Benchmarking the Performance of Pre-trained LLMs across Urdu NLP Tasks0
Advanced Natural-based interaction for the ITAlian language: LLaMAntino-3-ANITA0
Depression Symptoms Modelling from Social Media Text: A Semi-supervised Learning Approach0
DenseVLM: A Retrieval and Decoupled Alignment Framework for Open-Vocabulary Dense Prediction0
Discrepancy-Aware Attention Network for Enhanced Audio-Visual Zero-Shot Learning0
Benchmarking PathCLIP for Pathology Image Analysis0
Discriminative Image Generation with Diffusion Models for Zero-Shot Learning0
Dense Multimodal Alignment for Open-Vocabulary 3D Scene Understanding0
DeMIAN: Deep Modality Invariant Adversarial Network0
Benchmarking LLMs in Political Content Text-Annotation: Proof-of-Concept with Toxicity and Incivility Data0
Explainable Neural Network-based Modulation Classification via Concept Bottleneck Models0
BioMedGPT: Open Multimodal Generative Pre-trained Transformer for BioMedicine0
Deep Zero-Shot Learning for Scene Sketch0
LAraBench: Benchmarking Arabic AI with Large Language Models0
Distilled Reverse Attention Network for Open-world Compositional Zero-Shot Learning0
DeepPSL: End-to-end perception and reasoning0
An Empirical Study Into What Matters for Calibrating Vision-Language Models0
Evaluating Vision-Language Models for Zero-Shot Detection, Classification, and Association of Motorcycles, Passengers, and Helmets0
Divergence-Based Domain Transferability for Zero-Shot Classification0
Deep Learning for Malicious Flow Detection0
Beginning with You: Perceptual-Initialization Improves Vision-Language Representation and Alignment0
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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