Papers with Code 아카이브
Zero-Shot Transfer Image Classification
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
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- 평가표
- 16
- 보존된 평가 기록
- 95
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
M2-Encoder: Advancing Bilingual Image-Text Understanding by Large-scale Efficient Pretraining
InternVL: Scaling up Vision Foundation Models and Aligning for Generic Visual-Linguistic Tasks
Distilling Large Vision-Language Model with Out-of-Distribution Generalizability
Alternating Gradient Descent and Mixture-of-Experts for Integrated Multimodal Perception
Your Diffusion Model is Secretly a Zero-Shot Classifier
EVA-CLIP: Improved Training Techniques for CLIP at Scale
The effectiveness of MAE pre-pretraining for billion-scale pretraining
Scaling Vision Transformers to 22 Billion Parameters
Learning Customized Visual Models with Retrieval-Augmented Knowledge
AltCLIP: Altering the Language Encoder in CLIP for Extended Language Capabilities
PaLI: A Jointly-Scaled Multilingual Language-Image Model
CoCa: Contrastive Captioners are Image-Text Foundation Models
Florence: A New Foundation Model for Computer Vision
Combined Scaling for Zero-shot Transfer Learning
LiT: Zero-Shot Transfer with Locked-image text Tuning
Learning Transferable Visual Models From Natural Language Supervision
Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision
Learning Visual N-Grams from Web Data
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.