Papers with Code 아카이브

Object Detection

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

전체 기법전체 데이터셋

하위 태스크

39

평가표

124

보존된 평가 기록

977

코드

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

https://github.com/megvii-model/CrowdDetection

공식 코드

Detection in Crowded Scenes: One Proposal, Multiple Predictions

https://github.com/megvii-model/DetNAS

공식 코드

DetNAS: Backbone Search for Object Detection

https://github.com/megvii-model/LabelEnc

공식 코드

LabelEnc: A New Intermediate Supervision Method for Object Detection

https://github.com/megvii-model/MOTR

공식 코드

MOTR: End-to-End Multiple-Object Tracking with Transformer

https://github.com/megvii-model/YOLOF

공식 코드

You Only Look One-level Feature

https://github.com/megvii-model/anchordetr

공식 코드

Anchor DETR: Query Design for Transformer-Based Object Detection

https://github.com/megvii-model/iter-e2edet

공식 코드

Progressive End-to-End Object Detection in Crowded Scenes

https://github.com/megvii-research/AnchorDETR

공식 코드

Anchor DETR: Query Design for Transformer-Based Object Detection

https://github.com/megvii-research/ICD

공식 코드

Instance-Conditional Knowledge Distillation for Object Detection

https://github.com/megvii-research/LGD

공식 코드

LGD: Label-guided Self-distillation for Object Detection

https://github.com/megvii-research/SOLQ

공식 코드

SOLQ: Segmenting Objects by Learning Queries

https://github.com/megvii-research/co-mining

공식 코드

Co-mining: Self-Supervised Learning for Sparsely Annotated Object Detection

https://github.com/megvii-research/cvpr2023-unidistill

공식 코드

UniDistill: A Universal Cross-Modality Knowledge Distillation Framework for 3D Object Detection in Bird's-Eye View

https://github.com/megvii-research/far3d

공식 코드

Far3D: Expanding the Horizon for Surround-view 3D Object Detection

https://github.com/megvii-research/mdistiller

공식 코드

Decoupled Knowledge Distillation

https://github.com/megvii-research/motr

공식 코드

MOTR: End-to-End Multiple-Object Tracking with Transformer

https://github.com/megvii-research/petr

공식 코드

PETR: Position Embedding Transformation for Multi-View 3D Object Detection

https://github.com/megvii-research/revcol

공식 코드

Reversible Column Networks

https://github.com/megvii-research/us3l-cvpr2023

공식 코드

Three Guidelines You Should Know for Universally Slimmable Self-Supervised Learning

https://github.com/meharkhurana03/cm3d

공식 코드

Shelf-Supervised Cross-Modal Pre-Training for 3D Object Detection

https://github.com/meijieru/fast_advprop

공식 코드

Fast AdvProp

https://github.com/meituan-automl/visionllama

공식 코드

VisionLLaMA: A Unified LLaMA Backbone for Vision Tasks

https://github.com/meituan/yolov6

공식 코드

YOLOv6: A Single-Stage Object Detection Framework for Industrial Applications

https://github.com/mendelxu/mixtraining

공식 코드

Bootstrap Your Object Detector via Mixed Training

https://github.com/mendelxu/zsseg.baseline

공식 코드

A Simple Baseline for Open-Vocabulary Semantic Segmentation with Pre-trained Vision-language Model

https://github.com/mengkesong/saliency-ranking-paradigm

공식 코드

Rethinking Object Saliency Ranking: A Novel Whole-flow Processing Paradigm

https://github.com/mengqidyangge/hierkd

공식 코드

Open-Vocabulary One-Stage Detection with Hierarchical Visual-Language Knowledge Distillation

https://github.com/mengtan00/geobev

공식 코드

GeoBEV: Learning Geometric BEV Representation for Multi-view 3D Object Detection

https://github.com/mengtan00/sa-bev

공식 코드

SA-BEV: Generating Semantic-Aware Bird's-Eye-View Feature for Multi-view 3D Object Detection

https://github.com/mengyuwang826/segrefiner

공식 코드

SegRefiner: Towards Model-Agnostic Segmentation Refinement with Discrete Diffusion Process

https://github.com/menoly-xin/hardness-level-learning

공식 코드

Not All Pixels Are Equal: Learning Pixel Hardness for Semantic Segmentation

https://github.com/merlresearch/radar-detection-transformer

공식 코드

RETR: Multi-View Radar Detection Transformer for Indoor Perception

https://github.com/mertalbaba/SyNet

공식 코드

SyNet: An Ensemble Network for Object Detection in UAV Images

https://github.com/mertseker-dev/social-distance-estimation

공식 코드

Automatic Social Distance Estimation From Images: Performance Evaluation, Test Benchmark, and Algorithm

https://github.com/meteahishali/CSENDistance

공식 코드

Representation Based Regression for Object Distance Estimation

https://github.com/meteoswiss/c4dl-lightningdl

공식 코드

Seamless lightning nowcasting with recurrent-convolutional deep learning

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