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2D Classification

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코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/afzalahmad0203/tf_shufflenet

ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices

https://github.com/agelencs/darknet_original

YOLOv3: An Incremental Improvement

https://github.com/agutuyen-dev/darknet

YOLO9000: Better, Faster, Stronger

https://github.com/ahalterman/ngec

Synthetically generated text for supervised text analysis

https://github.com/ahedayat/U-Net

U-Net: Convolutional Networks for Biomedical Image Segmentation

https://github.com/ahhan02/darknet-alex

YOLO9000: Better, Faster, Stronger

https://github.com/ahmed-anas/thesis-pointnet

VoxelNet: End-to-End Learning for Point Cloud Based 3D Object Detection

https://github.com/ahmedbesbes/cycle-gan

Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks

https://github.com/ahmedelmahy/myownvit

Rethinking Spatial Dimensions of Vision Transformers

https://github.com/ahmedoumar/Neural_style_transfer_keras

A Neural Algorithm of Artistic Style

https://github.com/ahmedsalahacc/Image-Style-Transfer-with-Cycle-GAN

Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks

https://github.com/ahtwq/SENet

Squeeze-and-Excitation Networks

https://github.com/ai-forever/ru-clip

Learning Transferable Visual Models From Natural Language Supervision

https://github.com/ai-forever/ru-gpts

Methods for Detoxification of Texts for the Russian Language

https://github.com/ai-med/squeeze_and_excitation

Squeeze-and-Excitation Networks

https://github.com/ai-unicamp/tts-objective-metrics

Mellotron: Multispeaker expressive voice synthesis by conditioning on rhythm, pitch and global style tokens

https://github.com/ai21labs/lm-evaluation

Language Models are Few-Shot Learners

https://github.com/ai4ce/EUVS-Benchmark

GaussianPro: 3D Gaussian Splatting with Progressive Propagation

https://github.com/ai4ce/FLAT

Fooling LiDAR Perception via Adversarial Trajectory Perturbation

https://github.com/ai4finance-foundation/fingpt

Instruct-FinGPT: Financial Sentiment Analysis by Instruction Tuning of General-Purpose Large Language Models

https://github.com/aibeedetect/bfjdet

CrowdHuman: A Benchmark for Detecting Human in a Crowd

https://github.com/aigagror/discriminator-style-transfer

Style is a Distribution of Features

https://github.com/aiha-lab/AI-thermometer

SSD: Single Shot MultiBox Detector

https://github.com/aiha-lab/Attention-Head-Pruning

Transformer-XL: Attentive Language Models Beyond a Fixed-Length Context

https://github.com/aiida-/hatecrime

Reporting the Unreported: Event Extraction for Analyzing the Local Representation of Hate Crimes

https://github.com/aiiu-lab/naturalistic-adversarial-patch

Re-labeling ImageNet: from Single to Multi-Labels, from Global to Localized Labels

https://github.com/aijialin/style_transfer

Perceptual Losses for Real-Time Style Transfer and Super-Resolution

https://github.com/aikochou/citationdetective

Citation Needed: A Taxonomy and Algorithmic Assessment of Wikipedia's Verifiability

https://github.com/aim-uofa/AdelaiDet

FCOS: Fully Convolutional One-Stage Object Detection

https://github.com/aim-uofa/adet

FCOS: Fully Convolutional One-Stage Object Detection

https://github.com/aimerykong/RGBT-detection

Multimodal Object Detection via Probabilistic Ensembling

https://github.com/aimotive/mm_training

aiMotive Dataset: A Multimodal Dataset for Robust Autonomous Driving with Long-Range Perception

https://github.com/aiot-mlsys-lab/famba-v

Mamba: Linear-Time Sequence Modeling with Selective State Spaces

https://github.com/airalcorn2/paved2paradise

PointPillars: Fast Encoders for Object Detection from Point Clouds

https://github.com/airalcorn2/pytorch-nerf

NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis

https://github.com/airalcorn2/strike-with-a-pose

The Elephant in the Room

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.