OWL-ViT: Open-World Object Detection with Vision Transformers

OWL-ViT is an open-vocabulary object detector.

Github: https://github.com/google-research/scenic/tree/main/scenic/projects/owl_vit

Paper: https://arxiv.org/abs/2205.06230

Colab: https://colab.research.google.com/github/google-research/scenic/blob/main/scenic/projects/owl_vit/notebooks/OWL_ViT_minimal_example.ipynb

Dataset: https://paperswithcode.com/dataset/objects365

👉 @bigdata_1

TSM: Temporal Shift Module for Efficient Video Understanding

Github: https://github.com/MIT-HAN-LAB/temporal-shift-module

Paper: https://arxiv.org/abs/1811.08383

Demo: https://www.youtube.com/watch?v=0T6u7S_gq-4

👉 @bigdata_1

AdaVAE: Exploring Adaptive GPT-2s in Variational Auto-Encoders for Language Modeling

First VAE framework empowered with adaptive GPT-2s (AdaVAE).

Github: https://github.com/ImKeTT/adavae

Paper: https://arxiv.org/abs/2205.05862v1

Task: https://paperswithcode.com/task/representation-learning

👉 @bigdata_1

TSM: Temporal Shift Module for Efficient Video Understanding

Github: https://github.com/nikitakit/self-attentive-parser

Paper: https://arxiv.org/abs/2109.12814v1

Dataset: https://paperswithcode.com/dataset/penn-treebank

👉 @bigdata_1

Efficient and performance-portable vector software

CPUs provide SIMD/vector instructions that apply the same operation to multiple data items. This can reduce energy usage e.g. fivefold because fewer instructions are executed. We also often see 5-10x speedups.

Code: https://github.com/google/highway

Paper: https://arxiv.org/abs/2205.05982v1

Testing: https://github.com/google/highway/blob/master/g3doc/release_testing_process.md

👉 @bigdata_1

Towards Flexible Blind JPEG Artifacts Removal

Github: https://github.com/jiaxi-jiang/fbcnn

Paper: https://arxiv.org/abs/2109.14573v1

👉 @bigdata_1

[RK-Net]Joint Representation Learning and Keypoint Detection for Cross-view Geo-localization

Github: https://github.com/AggMan96/RK-Net

Paper: https://zhunzhong.site/paper/RK_Net.pdf

Dataset: https://paperswithcode.com/dataset/university-1652

👉 @bigdata_1

Evaluation of Deep Neural Network Domain Adaptation Techniques for Image Recognition

Github: https://github.com/agrija9/deep-unsupervised-domain-adaptation

Paper: https://arxiv.org/abs/2109.13420v1

Dataset: https://paperswithcode.com/dataset/office-31

👉 @bigdata_1

Group R-CNN for Point-based Weakly Semi-supervised Object Detection

Instance-aware representation learning which consists of instance-aware feature enhancement and instance-aware parameter generation to overcome this issue.

Code: https://github.com/jshilong/grouprcnn

Installation: https://mmdetection.readthedocs.io/en/v2.18.1/get_started.html#installation

Paper: https://arxiv.org/abs/2205.05920v1

Task: https://paperswithcode.com/task/object-detection

Dataset: https://paperswithcode.com/dataset/coco

👉 @bigdata_1

PyRDF2Vec: A Python Implementation and Extension of RDF2Vec

Create a 2D feature matrix from a Knowledge Graph for downstream ML tasks.

Github: https://github.com/IBCNServices/pyRDF2Vec

RDF2Vec: http://rdf2vec.org/

Paper: https://arxiv.org/abs/2205.02283v1

Examples: https://github.com/IBCNServices/pyRDF2Vec/tree/main/examples

How to Create Representations of Entities in a Knowledge Graph

👉 @bigdata_1

Language Models Can See: Plugging Visual Controls in Text Generation

Github: https://github.com/yxuansu/magic

Paper: https://arxiv.org/abs/2205.02655v1

Dataset: https://paperswithcode.com/dataset/coco

Contrastive Framework for Neural Text Generation: https://github.com/yxuansu/simctg

Colab: https://colab.research.google.com/drive/19lyyMXDRNr-Op8vwUOiRmbhMxI_s3rwW?usp=sharing

👉 @bigdata_1

Asymmetric 3D Context Fusion for Universal Lesion Detection

Github: https://github.com/M3DV/AlignShift

Paper: https://arxiv.org/pdf/2109.08684v1.pdf

👉 @bigdata_1

Semi-supervised-learning-for-medical-image-segmentation.

Github: https://github.com/HiLab-git/SSL4MIS

Paper: https://arxiv.org/abs/2112.04894v1

👉 @bigdata_1

Alias-Free Generative Adversarial Networks (StyleGAN3)

Github: https://github.com/pdillis/stylegan3-fun

Paper: https://arxiv.org/abs/2111.02175v1

Dataset: https://paperswithcode.com/dataset/ffhq

👉 @bigdata_1

🔝 SustainBench: Benchmarks for Monitoring the Sustainable Development Goals with Machine Learning

Github: https://github.com/sustainlab-group/sustainbench

Paper: https://arxiv.org/abs/2111.04724v1

Datasets: https://sustainlab-group.github.io/sustainbench/docs/datasets/

👉 @bigdata_1

Language Models are Few-shot Multilingual Learners

Github: https://github.com/gentaiscool/few-shot-lm

Paper: https://arxiv.org/abs/2109.07684v1

👉 @bigdata_1

Towards Unified Keyframe Propagation Models

A two-stream approach, where high-frequency features interact locally and low-frequency features interact globally.

Github: https://github.com/runwayml/guided-inpainting

Paper: https://arxiv.org/abs/2205.09731v1

Dataset: https://paperswithcode.com/dataset/places

👉 @bigdata_1

Sockeye

Sockeye is an open-source sequence-to-sequence framework for Neural Machine Translation built on PyTorch.

Code: https://github.com/awslabs/sockeye

Tutorial: https://github.com/awslabs/sockeye/blob/main/docs/tutorials/wmt_large.md

Paper: https://arxiv.org/abs/2205.06618v1

👉 @bigdata_1

A graph-transformer for whole slide image classification

Graph-Transformer (GT) that fuses a graph-based representation of an WSI and a vision transformer for processing pathology images.

Github: https://github.com/vkola-lab/tmi2022

Paper: https://arxiv.org/abs/2205.09671v1

Dataset: https://paperswithcode.com/dataset/imagenet

👉 @bigdata_1

RankGen - Improving Text Generation with Large Ranking Models

RankGen is a 1.2 billion encoder model which maps prefixes and generations from any language model (in continutation to the prefix) to a shared vector space.

Github: https://github.com/martiansideofthemoon/rankgen

Paper: https://arxiv.org/abs/2205.09726

Dataset: https://paperswithcode.com/dataset/imagenet

👉 @bigdata_1