towhee-io/towhee ICCV 2019

Towhee is a framework that is dedicated to making neural data processing pipelines simple and fast.

Action Classification Action Recognition +5

0.56 stars / hour

Obj2Seq: Formatting Objects as Sequences with Class Prompt for Visual Tasks

casia-iva-lab/obj2seq 28 Sep 2022

Obj2Seq is able to flexibly determine input categories to satisfy customized requirements, and be easily extended to different visual tasks.

Multi-Label Classification Object Detection +1

0.50 stars / hour

Analog Bits: Generating Discrete Data using Diffusion Models with Self-Conditioning

yiyixuxu/denoising-diffusion-flax 8 Aug 2022

The main idea behind our approach is to first represent the discrete data as binary bits, and then train a continuous diffusion model to model these bits as real numbers which we call analog bits.

Image Captioning Image Generation

0.49 stars / hour

NP-Match: When Neural Processes meet Semi-Supervised Learning

jianf-wang/np-match 3 Jul 2022

Semi-supervised learning (SSL) has been widely explored in recent years, and it is an effective way of leveraging unlabeled data to reduce the reliance on labeled data.

Semi-Supervised Image Classification

0.47 stars / hour

Poisson Flow Generative Models

newbeeer/poisson_flow 22 Sep 2022

We interpret the data points as electrical charges on the $z=0$ hyperplane in a space augmented with an additional dimension $z$, generating a high-dimensional electric field (the gradient of the solution to Poisson equation).

Image Generation

0.45 stars / hour

SegNeXt: Rethinking Convolutional Attention Design for Semantic Segmentation

visual-attention-network/segnext 18 Sep 2022

Notably, SegNeXt outperforms EfficientNet-L2 w/ NAS-FPN and achieves 90. 6% mIoU on the Pascal VOC 2012 test leaderboard using only 1/10 parameters of it.

Semantic Segmentation

0.39 stars / hour

Plenoxels: Radiance Fields without Neural Networks

kakaobrain/NeRF-Factory CVPR 2022

We introduce Plenoxels (plenoptic voxels), a system for photorealistic view synthesis.

0.37 stars / hour

Transformers in Time Series: A Survey

qingsongedu/time-series-transformers-review 15 Feb 2022

To the best of our knowledge, this paper is the first work to comprehensively and systematically summarize the recent advances of Transformers for modeling time series data.

Anomaly Detection Time Series

0.35 stars / hour

CrossDTR: Cross-view and Depth-guided Transformers for 3D Object Detection

sty61010/crossdtr 27 Sep 2022

To achieve accurate 3D object detection at a low cost for autonomous driving, many multi-camera methods have been proposed and solved the occlusion problem of monocular approaches.

3D Object Detection Autonomous Driving +4

0.35 stars / hour

Diffusion Models: A Comprehensive Survey of Methods and Applications

YangLing0818/Diffusion-Models-Papers-Survey-Taxonomy 2 Sep 2022

Diffusion models are a class of deep generative models that have shown impressive results on various tasks with a solid theoretical foundation.

Image Super-Resolution Text-to-Image Generation

0.33 stars / hour