3D model retrievalMulti-view zero-shot representationThe most existing methods for 3D model classification and retrieval rely on the fully supervised training scheme, which are prohibitive and time-consuming to collect and label 3D models of wide different categories. How to make full use of the ...
For effective zero-shot 3D classification, the model needs to understand and recognize 3D shapes from different viewpoints without direct training on these specific views. This requires having accurate and informative multi-view representations of the 3D objects. However, the exploration of a suitable ...
3D 生成中的 Alpha-CLIP。除了 2D 生成功能外，Alpha-CLIP 还展现了 3D 生成能力。它可以与Point-E...
client=InferenceClient()output=client.zero_shot_classification(model="https://h9qyt7jenlitt7j6.us-east-1.aws.endpoints.huggingface.cloud",text="I really like our dinner and I'm very happy. I don't like the weather though.",labels=["positive"],multi_label=True,hypothesis_template="This te...
该模型基于NLI的零点文本分类模型,参看Yin et al (2019) Benchmarking Zero-shot Text Classification: Datasets, Evaluation and Entailment Approach. 另一个模型是distilbert-base-uncased-mnli,该模型是uncased DistilBERT model在Multi-Genre Natural Language Inference (MNLI)上微调产生的。MNLI语料库包含大约433k...
computer-visionopenaiclassificationclipzero-shotchatgptsegment-anythingopen-vocabulary-detectionopen-vocabulary-segmentationgrounding-dino UpdatedFeb 22, 2024 Python YvanYin/Metric3D Star1.4k Code Issues Pull requests The repo for "Metric3D: Towards Zero-shot Metric 3D Prediction from A Single Image" and...
(Fig.3d, e). We used BioTranslator to perform cell type classification across eight different datasets and again observed a prominent result using BioTranslator. For example, the AUROC on unseen cell types was >0.90 when trained on Tabula Sapiens and tested on Tabula Microcebus. Taken together,...
在计算机视觉中，one-shot和zero-shot是指在一个任务的训练集中只包含很少或者没有样本时，如何进行准确...
2, while the model trained w/o stop-grad performs poorly on class-aware APmk, it performs reason- ably on class-agnostic APmk, indicating that the resulting features are capable of segmenting objects but not suitable for classification. Thus, it is crucial to separate feature...
zero-shot-classificationvision-language-pretrainingvision-language-modelzero-shot-segmentationmedical-vision-and-language-pretraining UpdatedJul 1, 2024 Python EfficientSAM + YOLO World base model for use with Autodistill. zero-shot-object-detectionzero-shot-segmentationyolo-worldefficientsam ...