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 ...
ImageNet-S 上具有不同 alpha map level的Zero-shot classification。**当foreground mask不可用时，Alph...
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 text is {} towards the weather")# output[ZeroShotClassificationOutputElement(label='positive...
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...
Zero-1-to-3: Zero-shot One Image to 3D Object (ICCV 2023) zero-shotnovel-view-synthesisimage-to-3dsingle-view-reconstructionstable-diffusion UpdatedDec 5, 2023 Python prs-eth/Marigold Star2.3k Code Issues Pull requests [CVPR 2024 - Oral, Best Paper Award Candidate] Marigold: Repurposing Diff...
(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,...
Zero-shot Unsupervised Transfer Instance Segmentation Gyungin Shin1,2 Samuel Albanie2 Weidi Xie1,3 1Visual Geometry Group, University of Oxford, UK 2Cambridge Applied Machine Learning Lab, University of Cambridge, UK 3Cooperative Medianet Innovation Center, Shanghai Jiao Tong Univers...
而判别器则被训练来区分真实图像和生成的图像。在一个one-shot或zero-shot任务中，可以使用生成器来...
This is similar to other zero-shot literature [23] in image classification. The retrieval model in this framework can only be trained on Str. The database Dtr may be used for validating the retrieval results in order to tune the hyper-parameters. Given an xsketch taken from sketches ...