Efficient Person Search: An Anchor-Free Approach.

Github: https://github.com/daodaofr/AlignPS

Paper: https://arxiv.org/abs/2109.00211v1

Dataset: https://paperswithcode.com/dataset/cuhk-sysu

👉 @bigdata_1

StyleGAN-Human: A Data-Centric Odyssey of Human Generation

human image dataset with over 230K samples capturing diverse poses and textures

Github: https://github.com/stylegan-human/stylegan-human

Demo video: https://youtu.be/nIrb9hwsdcI

Paper: https://arxiv.org/abs/2204.11823v1

Dataset: https://paperswithcode.com/dataset/market-1501

Colab: https://colab.research.google.com/drive/1sgxoDM55iM07FS54vz9ALg1XckiYA2On

👉 @bigdata_1

CTRL-C: Camera calibration TRansformer with Line-Classification

Github: https://github.com/jwlee-vcl/ctrl-c

Paper: https://arxiv.org/abs/2109.02259v1

Dataset: https://drive.google.com/file/d/1opDR_j-9y4TY82ZscBb-xYAoMkTocAOp/view

👉 @bigdata_1

The pytorch re-implement of the official EfficientDet with SOTA performance in real time

Github: https://github.com/zylo117/Yet-Another-EfficientDet-Pytorch

Paper: https://arxiv.org/abs/2105.12971v1

Tutorials: https://github.com/zylo117/Yet-Another-EfficientDet-Pytorch/blob/master/tutorial

👉 @bigdata_1

NEAT: Neural Attention Fields for End-to-End Autonomous Driving

Github: https://github.com/autonomousvision/neat

Paper: https://arxiv.org/abs/2109.04456v1

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

👉 @bigdata_1

ByteTrack: Multi-Object Tracking by Associating Every Detection Box

Github: https://github.com/ifzhang/ByteTrack

Paper: https://arxiv.org/abs/2110.06864

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

👉 @bigdata_1

Focal Sparse Convolutional Networks for 3D Object Detection (CVPR 2022, Oral)

Github: https://github.com/dvlab-research/focalsconv

Paper: https://arxiv.org/abs/2204.12463

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

👉 @bigdata_1

Building and Evaluating Open-Domain Dialogue Corpora with Clarifying Questions

Github: https://github.com/aliannejadi/ClariQ

Paper: https://arxiv.org/abs/2109.05794v1

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

👉 @bigdata_1

MMRotate: A Rotated Object Detection Benchmark using Pytorch

Github: https://github.com/open-mmlab/mmrotate

Documentation: https://mmrotate.readthedocs.io/en/latest/

Paper: https://arxiv.org/abs/2204.13317v1

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

👉 @bigdata_1

AliceMind: ALIbaba's Collection of Encoder-decoders from MinD (Machine IntelligeNce of Damo) Lab

Github: https://github.com/alibaba/AliceMind

Paper: https://arxiv.org/abs/2109.05687v1

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

👉 @bigdata_1

OPT (Open Pre-trained Transformers) is a family of NLP models trained on billions of tokens of text obtained from the internet.

175B GPT-3

Github: https://github.com/facebookresearch/metaseq

Instructions: https://github.com/facebookresearch/metaseq/blob/main/docs/setup.md

Paper: https://arxiv.org/abs/2205.01068v2

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

👉 @bigdata_1

DensePhrases is an extractive phrase search tool based on your natural language inputs

Github: https://github.com/princeton-nlp/DensePhrases

Paper: https://arxiv.org/abs/2109.08133v1

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

👉 @bigdata_1

EmotionFlow: Capture the Dialogue Level Emotion Transitions

Code: https://github.com/fpcsong/emotionflow

Paper: https://arxiv.org/abs/2204.10298v1

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

👉 @bigdata_1

AndroidEnv - The Android Learning Environment

Github: https://github.com/deepmind/android_env

Paper: https://arxiv.org/abs/2105.13231v1

👉 @bigdata_1

WildWood: a new Random Forest algorithm

Github: https://github.com/pyensemble/wildwood

Paper: https://arxiv.org/abs/2109.08010v1

Documentation: https://wildwood.readthedocs.io/

👉 @bigdata_1

Textual Entailment for Event Argument Extraction: Zero- and Few-Shot with Multi-Source Learning

Github: https://github.com/osainz59/Ask2Transformers

Instructions: https://github.com/facebookresearch/metaseq/blob/main/docs/setup.md

Paper: https://arxiv.org/abs/2205.01376v1

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

👉 @bigdata_1

Simple Entity-Centric Questions Challenge Dense Retrievers

Github: https://github.com/princeton-nlp/entityquestions

Paper: https://arxiv.org/abs/2109.08535v1

Dataset: https://paperswithcode.com/dataset/natural-questions

👉 @bigdata_1

Textless NLP: Generating expressive speech from raw audio

Facebook Ai: https://ai.facebook.com/blog/textless-nlp-generating-expressive-speech-from-raw-audio/

Examples: https://speechbot.github.io/pgslm/

Code: https://github.com/pytorch/fairseq/tree/master/examples/textless_nlp/gslm

Paper: https://arxiv.org/abs/2102.01192

👉 @bigdata_1

Unified Data Collection for Visual-Inertial Calibration via Deep Reinforcement Learning

Github: https://github.com/ethz-asl/Learn-to-Calibrate

Paper: https://arxiv.org/abs/2109.14974v1

👉 @bigdata_1

Dynamic Slimmable Network (DS-Net)

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

Paper: https://arxiv.org/abs/2109.10060v1

👉 @bigdata_1