Trending Research
VideoCLIP: Contrastive Pre-training for Zero-shot Video-Text Understanding
facebookresearch/fairseq
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EMNLP 2021
We present VideoCLIP, a contrastive approach to pre-train a unified model for zero-shot video and text understanding, without using any labels on downstream tasks.
PaddleNLP
PaddlePaddle/PaddleNLP
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ICLR 2021
Easy-to-use and powerful NLP library with awesome model zoo, supporting wide-range of NLP tasks from research to industrial applications.
Cross-Lingual Natural Language Inference
Cross-Lingual NER
+4
Colossal-AI: A Unified Deep Learning System For Large-Scale Parallel Training
The Transformer architecture has improved the performance of deep learning models in domains such as Computer Vision and Natural Language Processing.
A Lightweight Instrument-Agnostic Model for Polyphonic Note Transcription and Multipitch Estimation
Despite its simplicity, benchmark results show our system's note estimation to be substantially better than a comparable baseline, and its frame-level accuracy to be only marginally below those of specialized state-of-the-art AMT systems.
Neo: Generalizing Confusion Matrix Visualization to Hierarchical and Multi-Output Labels
The confusion matrix, a ubiquitous visualization for helping people evaluate machine learning models, is a tabular layout that compares predicted class labels against actual class labels over all data instances.
OPT: Open Pre-trained Transformer Language Models
Large language models, which are often trained for hundreds of thousands of compute days, have shown remarkable capabilities for zero- and few-shot learning.
Ranked #1 on
Stereotypical Bias Analysis
on CrowS-Pairs
Thin-Plate Spline Motion Model for Image Animation
yoyo-nb/thin-plate-spline-motion-model
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Firstly, we propose thin-plate spline motion estimation to produce a more flexible optical flow, which warps the feature maps of the source image to the feature domain of the driving image.
Towards An End-to-End Framework for Flow-Guided Video Inpainting
MCG-NKU/E2FGVI
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Optical flow, which captures motion information across frames, is exploited in recent video inpainting methods through propagating pixels along its trajectories.
Ranked #1 on
Video Inpainting
on YouTube-VOS 2018 val
HeadNeRF: A Real-time NeRF-based Parametric Head Model
Different from existing related parametric models, we use the neural radiance fields as a novel 3D proxy instead of the traditional 3D textured mesh, which makes that HeadNeRF is able to generate high fidelity images.
Goal-Guided Neural Cellular Automata: Learning to Control Self-Organising Systems
shyamsn97/controllable-ncas
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Inspired by cellular growth and self-organization, Neural Cellular Automata (NCAs) have been capable of "growing" artificial cells into images, 3D structures, and even functional machines.
