CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms

Github: https://github.com/indyfree/CARLA

Paper: https://arxiv.org/abs/2108.00783v1

👉 @bigdata_1

A Text Attention Network for Spatial Deformation Robust Scene Text Image Super-resolution

Github: https://github.com/mjq11302010044/tatt

Paper: https://arxiv.org/abs/2203.09388v2

Dataset: https://deepchecks.com/blog/

👉 @bigdata_1

Toward Spatially Unbiased Generative Models

Github: https://github.com/jychoi118/toward_spatial_unbiased

Paper: https://arxiv.org/abs/2108.01285v1

👉 @bigdata_1

Monotonic Differentiable Sorting Networks

Github: https://github.com/Felix-Petersen/diffsort

Colab: https://colab.research.google.com/drive/1q0TZFFYB9FlOJYWKt0_7ZaXQT190anhm?usp=sharing

Paper: https://arxiv.org/abs/2203.09630v1

Video: https://www.youtube.com/watch?v=Rl-sFaE1z4M

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

👉 @bigdata_1

A Pragmatic Look at Deep Imitation Learning

Github: https://github.com/Kaixhin/imitation-learning

Paper: https://arxiv.org/abs/2108.01867v1

👉 @bigdata_1

NeuralSpeech is a research project in focusing on neural network based speech processing

Github: https://github.com/microsoft/NeuralSpeech

Paper: https://arxiv.org/pdf/2109.14420v3.pdf

Speech Research: https://speechresearch.github.io/

Dataset: https://paperswithcode.com/dataset/aishell-1

👉 @bigdata_1

Foundation: An Economic Simulation Framework

Github: https://github.com/salesforce/ai-economist

Paper: https://arxiv.org/abs/2108.02755v1

👉 @bigdata_1

BigDetection: A Large-scale Benchmark for Improved Object Detector Pre-training

Github: https://github.com/amazon-research/bigdetection

Paper: https://arxiv.org/abs/2203.13249v1

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

👉 @bigdata_1

Improving Contrastive Learning by Visualizing Feature Transformation

Github: https://github.com/DTennant/CL-Visualizing-Feature-Transformation

Paper: https://arxiv.org/abs/2108.02982

👉 @bigdata_1

Autoregressive Image Generation using Residual Quantization

Github: https://github.com/kakaobrain/rq-vae-transformer

Pytorch: https://github.com/lucidrains/vector-quantize-pytorch

Paper: https://arxiv.org/abs/2203.01941v2

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

👉 @bigdata_1

Real-ESRGAN: Training Real-World Blind Super-Resolution with Pure Synthetic Data

Github: https://github.com/xinntao/Real-ESRGAN

Paper: https://arxiv.org/abs/2107.10833v1

How to Train Real-ESRGAN: https://github.com/xinntao/Real-ESRGAN/blob/master/Training.md

Colab Demo: https://colab.research.google.com/drive/1sVsoBd9AjckIXThgtZhGrHRfFI6UUYOo

👉 @bigdata_1

Pastiche Master: Exemplar-Based High-Resolution Portrait Style Transfer

Github: https://github.com/williamyang1991/DualStyleGAN

Paper: https://arxiv.org/abs/2203.13248v1

Video: https://www.youtube.com/watch?v=scZTu77jixI

Project: https://www.mmlab-ntu.com/project/dualstylegan/

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

👉 @bigdata_1

AutoVideo: An Automated Video Action Recognition System

Github: https://github.com/datamllab/autovideo

Paper: https://arxiv.org/abs/2108.04212v1

👉 @bigdata_1

REGTR: End-to-end Point Cloud Correspondences with Transformers

Github: https://github.com/yewzijian/regtr

Paper: https://arxiv.org/abs/2203.14517v1

Pretrained models: https://github.com/yewzijian/RegTR/releases/download/v1/trained_models.zip

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

👉 @bigdata_1

Domain Aware Universal Style Transfer

Github: https://github.com/kibeom-hong/domain-aware-style-transfer

Paper: https://arxiv.org/abs/2108.04441

👉 @bigdata_1

Deep Automatic Natural Image Matting

Github: https://github.com/JizhiziLi/AIM

Paper: https://arxiv.org/abs/2107.07235

Pretrained models: https://drive.google.com/uc?export=download&id=16dd1FGMcsMTqR6EfD2T9mtRmPwxnY0zs

Dataset: https://paperswithcode.com/dataset/celebamask-hq

👉 @bigdata_1

Contrastive Sensor Fusion

Github: https://github.com/descarteslabs/contrastive_sensor_fusion

Paper: https://arxiv.org/abs/2108.05094v1

👉 @bigdata_1

Vision-Language Transformer and Query Generation for Referring Segmentation

Github: https://github.com/henghuiding/Vision-Language-Transformer

Paper: https://arxiv.org/abs/2108.05565v1

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

👉 @bigdata_1

SuperGAT

A self-supervised graph attention network (SuperGAT), an improved graph attention model for noisy graph

Code: https://github.com/dongkwan-kim/SuperGAT

Paper: https://arxiv.org/abs/2204.04879v1

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

👉 @bigdata_1

Correlate-and-Excite: Real-Time Stereo Matching via Guided Cost Volume Excitation

Github: https://github.com/antabangun/coex

Paper: https://arxiv.org/abs/2108.05773v1

Project: https://antabangun.github.io/projects/CoEx/#demo

👉 @bigdata_1