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2D Classification

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

https://github.com/antoyang/TubeDETR

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TubeDETR: Spatio-Temporal Video Grounding with Transformers

https://github.com/antxinyuan/ssp

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Semantic-decoupled Spatial Partition Guided Point-supervised Oriented Object Detection

https://github.com/anuragkulkarni/lidar-based_object_detection_with_real-time_voice_specifications

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LiDAR-based Object Detection with Real-time Voice Specifications

https://github.com/aoi3142/waterfall

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Waterfall: Framework for Robust and Scalable Text Watermarking and Provenance for LLMs

https://github.com/aoki-media-lab/event_based_segmentation_vcmax

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Iterative Event-based Motion Segmentation by Variational Contrast Maximization

https://github.com/aosokin/cnn_head_detection

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Context-aware CNNs for person head detection

https://github.com/aosokin/os2d

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OS2D: One-Stage One-Shot Object Detection by Matching Anchor Features

https://github.com/aounon/center-smoothing

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Center Smoothing: Certified Robustness for Networks with Structured Outputs

https://github.com/apairofbigwings/cross-lingual-opinion-mining

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A Case Study and Qualitative Analysis of Simple Cross-Lingual Opinion Mining

https://github.com/apchenstu/mvsnerf

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MVSNeRF: Fast Generalizable Radiance Field Reconstruction from Multi-View Stereo

https://github.com/apple/ARKitScenes

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ARKitScenes: A Diverse Real-World Dataset For 3D Indoor Scene Understanding Using Mobile RGB-D Data

https://github.com/apple/ml-cvnets

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MobileViT: Light-weight, General-purpose, and Mobile-friendly Vision Transformer

https://github.com/apple/ml-dr

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Reinforce Data, Multiply Impact: Improved Model Accuracy and Robustness with Dataset Reinforcement

https://github.com/apple/ml-hugs

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HUGS: Human Gaussian Splats

https://github.com/apple/ml-mobileone

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MobileOne: An Improved One millisecond Mobile Backbone

https://github.com/apple/ml-spin

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SPIN: An Empirical Evaluation on Sharing Parameters of Isotropic Networks

https://github.com/apple/ml-tune-mode-convbn

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Efficient ConvBN Blocks for Transfer Learning and Beyond

https://github.com/apple1986/residual_learning_for_images

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Development of Skip Connection in Deep Neural Networks for Computer Vision and Medical Image Analysis: A Survey

https://github.com/applied-ai-lab/object_matching

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Semantically Grounded Object Matching for Robust Robotic Scene Rearrangement

https://github.com/apurvamulay/ReCOVery

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ReCOVery: A Multimodal Repository for COVID-19 News Credibility Research

https://github.com/aramir62/da-nlg

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Controllable Generation of Dialogue Acts for Dialogue Systems via Few-Shot Response Generation and Ranking

https://github.com/arashsajjadi/TGraphX

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TGraphX: Tensor-Aware Graph Neural Network for Multi-Dimensional Feature Learning

https://github.com/arashwan/matrixnet

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MatrixNets: A New Scale and Aspect Ratio Aware Architecture for Object Detection

https://github.com/arazd/miread

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MIReAD: Simple Method for Learning High-quality Representations from Scientific Documents

https://github.com/arcaninez/odm3d

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ODM3D: Alleviating Foreground Sparsity for Semi-Supervised Monocular 3D Object Detection

https://github.com/arcelikacikkaynak/federated_learning

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Anomaly Localization in Model Gradients Under Backdoor Attacks Against Federated Learning

https://github.com/archiplab-linfengzhang/contrastive-deep-supervision

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Contrastive Deep Supervision

https://github.com/architapathak/Self-Supervised-ClaimIdentification

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Self-Supervised Claim Identification for Automated Fact Checking

https://github.com/architect-road/icongan

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Design What You Desire: Icon Generation from Orthogonal Application and Theme Labels

https://github.com/ardagen/stem-automated-nanoparticle-analysis-yolov8-sam

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A versatile machine learning workflow for high-throughput analysis of supported metal catalyst particles

https://github.com/arekavandi/transformer-sod

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Transformers in Small Object Detection: A Benchmark and Survey of State-of-the-Art

https://github.com/areuther/ai-accelerators

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AI Accelerator Survey and Trends

https://github.com/arghyasinha/tsp-kernel-denoiser

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Linear Convergence of Plug-and-Play Algorithms with Kernel Denoisers

https://github.com/argoverse/av2-api

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Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting

https://github.com/aritra23/dragonverseqa

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DragonVerseQA: Open-Domain Long-Form Context-Aware Question-Answering

https://github.com/aritrabhowmik/uoi

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Union-over-Intersections: Object Detection beyond Winner-Takes-All

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