BigData

Weakly Supervised Object Localization via Transformer with Implicit Spatial Calibration

learnable parameter to dynamically adjust the semantic correlations and spatial context intensities for effective information propagation.

Github: https://github.com/164140757/scm

Paper: https://arxiv.org/abs/2207.10447v1

Dataset: https://paperswithcode.com/dataset/cub-200-2011

👉 @bigdata_1

Machine Learning Algorithms Explained in Less Than 1 Minute Each

https://www.kdnuggets.com/2022/07/machine-learning-algorithms-explained-less-1-minute.html

👉 @bigdata_1

Generative Multiplane Images: Making a 2D GAN 3D-Aware

What is really needed to make an existing 2D GAN 3D-aware? To answer this question, we modify a classical GAN, i.e., StyleGANv2, as little as possible. We find that only two modifications are absolutely necessary: 1) a multiplane image style generator branch which produces a set of alpha maps conditioned on their depth; 2) a pose-conditioned discriminator.

Github: https://github.com/apple/ml-gmpi

Paper: https://arxiv.org/abs/2207.10642v1

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

Project: https://xiaoming-zhao.github.io/projects/gmpi/

Pretrained checkpoints: https://drive.google.com/drive/folders/1MEIjen0XOIW-kxEMfBUONnKYrkRATSR_

👉 @bigdata_1

Tip-Adapter: Training-free Adaption of CLIP for Few-shot Classification

Tip-Adapter is a training-free adaption method for CLIP to conduct few-shot classification.

Github: https://github.com/gaopengcuhk/tip-adapter

Paper: https://arxiv.org/abs/2207.09519v1

Dataset: https://paperswithcode.com/dataset/oxford-102-flower

👉 @bigdata_1

FSD: Fully Sparse 3D Object Detection & SST: Single-stride Sparse Transformer

Github: https://github.com/tusimple/sst

Paper: http://arxiv.org/abs/2207.10035

Dataset: https://paperswithcode.com/dataset/waymo-open-dataset

👉 @bigdata_1

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/

👉 @bigdata_1

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

👉 @bigdata_1

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

👉 @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

👉 @bigdata_1

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

Benchmarking Omni-Vision Representation through the Lens of Visual Realms

Github: https://github.com/ZhangYuanhan-AI/OmniBenchmark

Project: https://zhangyuanhan-ai.github.io/OmniBenchmark

Paper: https://arxiv.org/abs/2207.07106v1

Competition: https://codalab.lisn.upsaclay.fr/competitions/6043

👉 @bigdata_1

KGI (Knowledge Graph Induction) for slot filling

Github: https://github.com/ibm/kgi-slot-filling

KILT data and knowledge source: https://github.com/facebookresearch/KILT

Paper: https://arxiv.org/abs/2207.06300v1

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

👉 @bigdata_1

Class-incremental Novel Class Discovery

Github: https://github.com/oatmealliu/class-incd

Paper: https://arxiv.org/abs/2207.08605v1

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

👉 @bigdata_1

Instance Shadow Detection with A Single-Stage Detector

Deep framework, and an evaluation metric to approach this new task.

Github: https://github.com/stevewongv/InstanceShadowDetection

Instance Shadow Detection: https://github.com/stevewongv/SSIS

Video: https://www.youtube.com/watch?v=p0b_2SsFypw

Colab: https://colab.research.google.com/drive/1y9UpS5uA1YuoMyvYVzcKL4ltA_FDu_x0?usp=sharing

Paper: https://arxiv.org/abs/2207.04614v1

Datasets: https://paperswithcode.com/dataset/soba

👉 @bigdata_1

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

👉 @bigdata_1

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

👉 @bigdata_1

The 5 Best Places To Host Your Data Science Portfolio

https://www.kdnuggets.com/2022/07/5-best-places-host-data-science-portfolio.html

👉 @bigdata_1

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

👉 @bigdata_1

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

👉 @bigdata_1

Understanding the Design of a Convolutional Neural Network

https://machinelearningmastery.com/understanding-the-design-of-a-convolutional-neural-network/

👉 @bigdata_1