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Found 8 papers, 4 papers with code
APT-Pipe: A Prompt-Tuning Tool for Social Data Annotation using ChatGPT
To address this, there has been a flurry of research into prompt tuning -- techniques and guidelines that attempt to improve the quality of prompts.
A Beam-Segmenting Polar Format Algorithm Based on Double PCS for Video SAR Persistent Imaging
Through processing the sub-beam data and mosaicking the refocused subimages, the full image in GOCS without distortion and defocus is obtained.
Ammonia-Net: A Multi-task Joint Learning Model for Multi-class Segmentation and Classification in Tooth-marked Tongue Diagnosis
After a number of extensive experiments, the experimental results show that the proposed model achieves 99. 06% accuracy in the two-class classification task of tooth-marked tongue identification and 80. 02%.
Can ChatGPT Reproduce Human-Generated Labels? A Study of Social Computing Tasks
We believe this work can open up new lines of analysis and act as a basis for future research into the exploitation of ChatGPT for human annotation tasks.
Make Encoder Great Again in 3D GAN Inversion through Geometry and Occlusion-Aware Encoding
We leverage the inherent properties of EG3D's latent space to design a discriminator and a background depth regularization.
One Model to Edit Them All: Free-Form Text-Driven Image Manipulation with Semantic Modulations
Based on the visual latent space of StyleGAN[21] and text embedding space of CLIP[34], studies focus on how to map these two latent spaces for text-driven attribute manipulations.
DynaMixer: A Vision MLP Architecture with Dynamic Mixing
In contrast with vision transformers and CNNs, the success of MLP-like models shows that simple information fusion operations among tokens and channels can yield a good representation power for deep recognition models.
Unifying Cross-lingual Summarization and Machine Translation with Compression Rate
Through introducing compression rate, the information ratio between the source and the target text, we regard the MT task as a special CLS task with a compression rate of 100%.
