SOTAVerified

zero-shot-classification

Papers

Showing 5175 of 422 papers

TitleStatusHype
Pseudo-Prompt Generating in Pre-trained Vision-Language Models for Multi-Label Medical Image ClassificationCode1
CLIPArTT: Adaptation of CLIP to New Domains at Test TimeCode1
Modeling Caption Diversity in Contrastive Vision-Language PretrainingCode1
OpenDlign: Open-World Point Cloud Understanding with Depth-Aligned ImagesCode1
Knowledge-enhanced Visual-Language Pretraining for Computational PathologyCode1
Label Propagation for Zero-shot Classification with Vision-Language ModelsCode1
VLM-CPL: Consensus Pseudo Labels from Vision-Language Models for Human Annotation-Free Pathological Image ClassificationCode1
CLIP-VIS: Adapting CLIP for Open-Vocabulary Video Instance SegmentationCode1
MoralBERT: A Fine-Tuned Language Model for Capturing Moral Values in Social DiscussionsCode1
CLIP-Guided Source-Free Object Detection in Aerial ImagesCode1
Improved Zero-Shot Classification by Adapting VLMs with Text DescriptionsCode1
Open-Pose 3D Zero-Shot Learning: Benchmark and ChallengesCode1
Lite-Mind: Towards Efficient and Robust Brain Representation NetworkCode1
SCLIP: Rethinking Self-Attention for Dense Vision-Language InferenceCode1
ViT-Lens: Towards Omni-modal RepresentationsCode1
Re-Scoring Using Image-Language Similarity for Few-Shot Object DetectionCode1
ArcheType: A Novel Framework for Open-Source Column Type Annotation using Large Language ModelsCode1
EmoCLIP: A Vision-Language Method for Zero-Shot Video Facial Expression RecognitionCode1
DST-Det: Simple Dynamic Self-Training for Open-Vocabulary Object DetectionCode1
CLIP-DIY: CLIP Dense Inference Yields Open-Vocabulary Semantic Segmentation For-FreeCode1
TAP: Targeted Prompting for Task Adaptive Generation of Textual Training Instances for Visual ClassificationCode1
Towards Realistic Zero-Shot Classification via Self Structural Semantic AlignmentCode1
Adversarial Illusions in Multi-Modal EmbeddingsCode1
Image-free Classifier Injection for Zero-Shot ClassificationCode1
ReCLIP: Refine Contrastive Language Image Pre-Training with Source Free Domain AdaptationCode1
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