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zero-shot-classification

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TitleStatusHype
Attribute-Modulated Generative Meta Learning for Zero-Shot Classification—0
Audio-Visual Compound Expression Recognition Method based on Late Modality Fusion and Rule-based Decision—0
Distilling Knowledge from Text-to-Image Generative Models Improves Visio-Linguistic Reasoning in CLIP—0
AVGZSLNet: Audio-Visual Generalized Zero-Shot Learning by Reconstructing Label Features from Multi-Modal Embeddings—0
A Zero-Shot Classification Approach for a Word-Guessing Challenge—0
A Zero-Shot Learning Approach for Ephemeral Gully Detection from Remote Sensing using Vision Language Models—0
BAMBINO-LM: (Bilingual-)Human-Inspired Continual Pretraining of BabyLM—0
BDetCLIP: Multimodal Prompting Contrastive Test-Time Backdoor Detection—0
Beginning with You: Perceptual-Initialization Improves Vision-Language Representation and Alignment—0
Benchmarking LLMs in Political Content Text-Annotation: Proof-of-Concept with Toxicity and Incivility Data—0
Benchmarking PathCLIP for Pathology Image Analysis—0
Blind Dates: Examining the Expression of Temporality in Historical Photographs—0
Boosted Zero-Shot Learning with Semantic Correlation Regularization—0
Building Domain-specific Corpora from the Web: the Case of European Digital Service Infrastructures—0
Building Vision-Language Models on Solid Foundations with Masked Distillation—0
Can Medical Vision-Language Pre-training Succeed with Purely Synthetic Data?—0
Captured by Captions: On Memorization and its Mitigation in CLIP Models—0
CASE 2021 Task 2: Zero-Shot Classification of Fine-Grained Sociopolitical Events with Transformer Models—0
CIBR: Cross-modal Information Bottleneck Regularization for Robust CLIP Generalization—0
Class label autoencoder for zero-shot learning—0
CLIP-CID: Efficient CLIP Distillation via Cluster-Instance Discrimination—0
CLIP-DPO: Vision-Language Models as a Source of Preference for Fixing Hallucinations in LVLMs—0
CLIP meets Model Zoo Experts: Pseudo-Supervision for Visual Enhancement—0
CLIP with Quality Captions: A Strong Pretraining for Vision Tasks—0
Coarse2Fine: Fine-grained Text Classification on Coarsely-grained Annotated Data—0
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