BigData
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Data Science : Big Data : Machine Learning : Deep Learning. По всем вопросам @evgenycarter
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A Comprehensive Survey on Deep Gait Recognition: Algorithms, Datasets and Challenges

Github: https://github.com/shiqiyu/opengait

Paper: https://arxiv.org/abs/2206.13732v1

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

👉 @bigdata_1
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FAST-VQA: Efficient End-to-end Video Quality Assessment with Fragment Sampling

Github: https://github.com/timothyhtimothy/fast-vqa

Paper: https://arxiv.org/abs/2207.02595v1

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

👉 @bigdata_1
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Aug-NeRF: Training Stronger Neural Radiance Fields with Triple-Level Physically-Grounded Augmentations

For the first time brings the power of robust data augmentations into regularizing the NeRF training.

Github: https://github.com/vita-group/aug-nerf

Paper: https://arxiv.org/abs/2207.01164v1

Cloud Drive: https://drive.google.com/drive/folders/128yBriW1IG_3NJ5Rp7APSTZsJqdJdfc1

👉 @bigdata_1
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SeqDeepFake: Detecting and Recovering Sequential DeepFake Manipulation

First Seq-DeepFake dataset, where face images are manipulated sequentially with corresponding annotations of sequential facial manipulation vectors.

Github: https://github.com/rshaojimmy/seqdeepfake

Project: https://rshaojimmy.github.io/Projects/SeqDeepFake

Paper: https://arxiv.org/pdf/2207.02204.pdf

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

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YOLOv7

YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors

Github: https://github.com/wongkinyiu/yolov7

Paper: https://arxiv.org/abs/2207.02696v1

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

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Object Centric Open Vocabulary Detection

Object-centric alignment of the language embeddings from the CLIP model.

Github: https://github.com/hanoonaR/object-centric-ovd

Paper: https://arxiv.org/abs/2207.03482v1

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

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An Efficiency Study for SPLADE Models

SParse Lexical AnD Expansion Model for First Stage Ranking.

Github: https://github.com/naver/splade

Paper: https://arxiv.org/abs/2207.03834v1

Dataset: https://paperswithcode.com/dataset/ms-marco

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PeopleSansPeople: A Synthetic Data Generator for Human-Centric Computer Vision

Human-centric privacy-preserving synthetic data generator with highly parametrized domain randomization.

Github: https://github.com/unity-technologies/peoplesanspeople

Paper: https://arxiv.org/abs/2207.05025v1

Demo Video: https://www.youtube.com/watch?v=mQ_DUdB70dc

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Dynamic Low-Resolution Distillation for Cost-Efficient End-to-End Text Spotting

Github: https://github.com/hikopensource/davar-lab-ocr

Paper: https://arxiv.org/abs/2207.06694v1

Dataset: https://paperswithcode.com/dataset/total-text

👉 @bigdata_1
Language Modelling with Pixels

PIXEL is a language model that operates on text rendered as images, fully removing the need for a fixed vocabulary.

Github: https://github.com/xplip/pixel

Paper: https://arxiv.org/abs/2207.06991v1

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

Pretrained: https://huggingface.co/Team-PIXEL/pixel-base

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CLOSE: Curriculum Learning On the Sharing Extent Towards Better One-shot NAS

Github: https://github.com/walkerning/aw_nas

Paper: https://arxiv.org/abs/2207.07868v1

Dataset: https://paperswithcode.com/dataset/nas-bench-201

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HiFormer: Hierarchical Multi-scale Representations Using Transformers for Medical Image Segmentation

Github: https://github.com/amirhossein-kz/hiformer

Paper: https://arxiv.org/abs/2207.08518v1

Tasks: https://paperswithcode.com/task/medical-image-segmentation

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Automated Crossword Solving

Pretrained models, precomputed FAISS embeddings, and a crossword clue-answer dataset.

Github: https://github.com/albertkx/berkeley-crossword-solver

Paper: https://arxiv.org/abs/2205.09665v1

Dataset: https://www.xwordinfo.com/JSON/

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